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Data Engineer
Convo Communications LLC · Remote (United States), United States · Remote · Active · $100,000–$110,000 / year · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Convo Communications LLC |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Data |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $100,000–$110,000 / year |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-05-28 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Convo Communications LLC. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Data. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Convo Communications LLC |
| Source | 32f1f456-18e3-4a23-8156-81ef03524382 |
| ATS provider | Rippling ATS |
Description
company
About Convo Communications LLC
Founded in March 2009, Convo is the world’s largest Deaf-owned company, with hundreds of colleagues serving communities across multiple countries and sign languages. We exist because conversations transform lives. By giving Deaf people direct control over how and when they connect, Convo unlocks access at the moment it’s needed. Reducing the experience deprivation many Deaf individuals face and creating meaningful, everyday impact for Deaf communities and the people around them.
role
About the role
Convo Communications is seeking a technically skilled and self-driven Data Engineer to support and advance the data infrastructure that powers operational, product, financial, and strategic decision-making across the organization.
This is an individual contributor role where you will serve as Convo’s dedicated data engineer and primary internal resource for data infrastructure expertise and recommendations. You will inherit existing pipelines, tools, and practices and be expected to evaluate them thoughtfully: preserve what works, improve what doesn’t, and replace what should be rebuilt. We are looking for someone who brings informed opinions, establishes sound engineering standards, and helps mature and evolve the company’s data capabilities with confidence and ownership.
This role requires a high degree of independence, technical judgment, and collaboration. The Data Engineer will partner closely with the Head of Product Operations, a dedicated data analyst, the CTO, and cross-functional stakeholders to ensure Convo has trusted, accessible, and reliable data to support business growth and operational performance.
What you'll do
Pipelines & Infrastructure
Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability. Design and build scalable pipeline improvements or net-new solutions where current practices fall short. Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems. Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow. Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment. Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability. Data Modeling & Quality
Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements. Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data. Own data governance, documentation, lineage, version control, and data quality standards across the organization. SME Leadership & Stakeholder Enablement
Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization. Work closely with the data analyst to translate business questions into reliable, queryable data structures. Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly. Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions. Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs. Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms. Standards & Sustainability
Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person. Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices. Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems. Maintain clear technical documentation and operational standards that support long-term maintainability. Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability. Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data. Qualifications
Required Qualifications
Strong SQL skills with hands-on experience in Snowflake and Snowflake SQL. Proficiency in Python for data transformation, automation, and pipeline scripting. Experience with dbt for data modeling and transformation. Familiarity with git and version control best practices. Solid understanding of ETL/ELT patterns, pipeline orchestration, and modern data modeling concepts. Experience managing and supporting production-grade data infrastructure and pipelines. Demonstrated ability to work independently, self-direct priorities, and make sound technical decisions without day-to-day oversight. Experience troubleshooting data quality, reliability, and performance issues within complex data environments. Ability to communicate technical concepts clearly and guide non-technical stakeholders on data capabilities and limitations. A collaborative mindset and comfort working across teams with varying technical backgrounds. Openness to inheriting existing systems and the judgment to know when to improve versus rebuild. Openness to learning new tools and technologies as the data engineering landscape continues to evolve. Ability to handle sensitive and confidential information with strong integrity and professionalism. Preferred Qualifications
3+ years of experience serving as a sole or lead data engineer, with primary responsibility for a company’s data infrastructure. 3+ years of experience with AWS data services such as Glue, RDS, or similar technologies. 3+ years of experience with orchestration tools such as Stitch, Airflow, Prefect, or similar platforms. 3+ years of experience with data quality frameworks and testing practices. 3+ years of experience with BI and reporting tools. Familiarity with CI/CD, testing, and deployment best practices for data infrastructure. Familiarity with AI-adjacent data tooling and modern data infrastructure practices. Experience working in a scaling technology or operations-driven organization. Knowledge of American Sign Language (ASL) and/or Deaf culture is a plus. Additional Requirements
Ability to work independently with a high degree of ownership, accountability, and technical judgment. Comfortable operating as the primary data engineering resource within a cross-functional environment. Ability to work a flexible schedule when needed to support business and operational priorities. Strong interpersonal and professional communication skills. Commitment to continuous learning and adapting to evolving technologies and business needs.
Full job record
| Job ID | 7e57506f37546913bd9dfabc4616b7e86e16b431 |
| Org ID | 2f67794a-25ba-486b-ae37-0adaa43568e9 |
| Source ID | 32f1f456-18e3-4a23-8156-81ef03524382 |
| Board ID | 32f1f456-18e3-4a23-8156-81ef03524382 |
| Provider | rippling |
| Provider Job Key | 8e48c38e-1d20-4b7e-af46-b8c692380cd3 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | Data |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | USD 100000-110000 YEAR |
| Salary Min | 100,000 |
| Salary Max | 110,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://ats.rippling.com/convo-communications-llc/jobs/8e48c38e-1d20-4b7e-af46-b8c692380cd3 |
| Apply URL | https://ats.rippling.com/convo-communications-llc/jobs/8e48c38e-1d20-4b7e-af46-b8c692380cd3 |
| First Seen At | 2026-05-29 07:07:57Z |
| Last Seen At | 2026-06-06 19:50:49Z |
| Last Checked At | 2026-06-06 19:50:49Z |
| Last Changed At | 2026-06-06 19:50:49Z |
| Inactive At | — |
| Source Posted At | 2026-05-28 18:38:42Z |
| Source Updated At | — |
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"role": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11.25pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Convo Communications is seeking a technically skilled and self-driven Data Engineer to support and advance the data infrastructure that powers operational, product, financial, and strategic decision-making across the organization.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This is an individual contributor role where you will serve as Convo’s dedicated data engineer and primary internal resource for data infrastructure expertise and recommendations. 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The Data Engineer will partner closely with the Head of Product Operations, a dedicated data analyst, the CTO, and cross-functional stakeholders to ensure Convo has trusted, accessible, and reliable data to support business growth and operational performance.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">What you'll do</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:13pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Pipelines & Infrastructure</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Design and build scalable pipeline improvements or net-new solutions where current practices fall short.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Data Modeling & Quality</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Own data governance, documentation, lineage, version control, and data quality standards across the organization.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">SME Leadership & Stakeholder Enablement</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Work closely with the data analyst to translate business questions into reliable, queryable data structures.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Standards & Sustainability</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Maintain clear technical documentation and operational standards that support long-term maintainability.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Qualifications</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:13pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Required Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong SQL skills with hands-on experience in Snowflake and Snowflake SQL.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Proficiency in Python for data transformation, automation, and pipeline scripting.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with dbt for data modeling and transformation.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with git and version control best practices.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Solid understanding of ETL/ELT patterns, pipeline orchestration, and modern data modeling concepts.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience managing and supporting production-grade data infrastructure and pipelines.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Demonstrated ability to work independently, self-direct priorities, and make sound technical decisions without day-to-day oversight.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience troubleshooting data quality, reliability, and performance issues within complex data environments.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ability to communicate technical concepts clearly and guide non-technical stakeholders on data capabilities and limitations.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">A collaborative mindset and comfort working across teams with varying technical backgrounds.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Openness to inheriting existing systems and the judgment to know when to improve versus rebuild.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Openness to learning new tools and technologies as the data engineering landscape continues to evolve.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ability to handle sensitive and confidential information with strong integrity and professionalism.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Preferred Qualifications</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years of experience serving as a sole or lead data engineer, with primary responsibility for a company’s data infrastructure.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years of experience with AWS data services such as Glue, RDS, or similar technologies.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years of experience with orchestration tools such as Stitch, Airflow, Prefect, or similar platforms.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years of experience with data quality frameworks and testing practices.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">3+ years of experience with BI and reporting tools.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with CI/CD, testing, and deployment best practices for data infrastructure.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Familiarity with AI-adjacent data tooling and modern data infrastructure practices.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience working in a scaling technology or operations-driven organization.</span></li><li style=\"color:rgb(0,0,0);font-size:10pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Knowledge of American Sign Language (ASL) and/or Deaf culture is a plus.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:13pt;white-space:pre-wrap;\">Additional Requirements</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ability to work independently with a high degree of ownership, accountability, and technical judgment.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Comfortable operating as the primary data engineering resource within a cross-functional environment.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ability to work a flexible schedule when needed to support business and operational priorities.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong interpersonal and professional communication skills.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Commitment to continuous learning and adapting to evolving technologies and business needs.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
"company": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About Convo Communications LLC</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);background-color:rgb(255,255,255);white-space:pre-wrap;\">Founded in March 2009, Convo is the world’s largest Deaf-owned company, with hundreds of colleagues serving communities across multiple countries and sign languages. We exist because conversations transform lives. By giving Deaf people direct control over how and when they connect, Convo unlocks access at the moment it’s needed. Reducing the experience deprivation many Deaf individuals face and creating meaningful, everyday impact for Deaf communities and the people around them.</span></p>"
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