Home › Companies › Fd0b11f1 419b 47c1 B1c8 8fa989415cd2 19000101 000001 › Data Engineer & Database Administrator II
Data Engineer & Database Administrator II
Fd0b11f1 419b 47c1 B1c8 8fa989415cd2 19000101 000001 · Redmond, WA, US, Redmond, WA · Active · $99,840–$114,400 / year · ADP Workforce Now Recruiting
Job facts
| Field | Value |
|---|---|
| Company | Fd0b11f1 419b 47c1 B1c8 8fa989415cd2 19000101 000001 |
| Title | Data Engineer & Database Administrator II |
| Normalized title | - |
| Department / team | - |
| Location | Redmond, WA, United States |
| Work model | - |
| Employment type | - |
| Salary | $99,840–$114,400 / year |
| Status | active |
| ATS provider | ADP Workforce Now Recruiting |
| Posted / first seen | 2026-05-13 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fd0b11f1 419b 47c1 B1c8 8fa989415cd2 19000101 000001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through ADP Workforce Now Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Redmond. | 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 | Fd0b11f1 419b 47c1 B1c8 8fa989415cd2 19000101 000001 |
| Source | 0bf19433-9a5d-44d6-bea7-c8d80b6453eb |
| ATS provider | ADP Workforce Now Recruiting |
Description
Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law.
Summary of Position:
The Data Engineer & Database Administrator will build and maintain scalable data pipelines while ensuring databases are reliable, secure, and high-performing. This role works closely with analysts, engineers, and product teams to deliver clean and timely data.
Essential Functions:
Design, build and maintain ETL/ELT pipelines across multiple systems Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis) Administer and maintain database environments across development, staging, and production Monitor data pipelines and databases, troubleshoot issues, and implement alerts Optimize query performance, indexes, and configurations across relational and NoSQL systems Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift) Ensure database security, including access control, encryption, and role management Plan capacity and scale systems to support growing data needs Define and enforce data retention and archival policies Collaborate with analytics and product teams to support reporting and data needs Document data pipelines, database processes, and operational procedures Participate in code reviews and follow engineering best practices Lead small technical initiatives or projects Conduct or participate in code reviews with a coaching lens Mentor or provide guidance to junior team members (Level I) Competencies:
Ensures Accountability Tech Savvy Communicates Effectively Values Differences Customer Focus Resourcefulness Drives Results Plans and Prioritizes Decision Quality Self-Development Work Environment:
This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools.
Physical Demands:
This role requires physical capabilities that support the successful execution of key responsibilities. The employee regularly engages in verbal and written communication with colleagues and clients to address project-related inquiries and must be able to convey accurate information clearly and efficiently. The position involves remaining seated at a workstation for approximately 75% of the time, with occasional movement throughout the office to access equipment, supplies, and shared resources. Daily tasks include consistent use of computers and standard office technology such as keyboards, printers, and multifunction devices. The role also involves transporting equipment boxes weighing up to 25 pounds within the building and to other offsite locations as needed for project support.
Required Education and Experience:
Bachelor's Degree Required 3 - 5 Years of Experience Qualifications:
3-5 years of experience in data engineering, database administration, or similar roles Strong experience with PostgreSQL, MongoDB, and Amazon Redshift Solid SQL skills for both transactional and analytical workloads Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.) Proficiency in Python or another scripting language Experience with workflow orchestration tools (Airflow, Step Functions, etc.) Hands-on database administration experience, including: MongoDB (replica sets, sharding, indexing, backups) Redshift (cluster management, query tuning, WLM, snapshots) PostgreSQL (replication, performance tuning, connection pooling) Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.) Understanding of database security (encryption, auditing, least-privilege access) Strong problem-solving and analytical skills Ability to translate business needs into data solutions Comfortable working in a fast-paced, collaborative environment Clear communicator with both technical and non-technical audiences Self-motivated with a focus on clean, maintainable code Nice to Have
Experience with Kafka or Kinesis (streaming data) Familiarity with dbt for data transformation Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation) Experience with Terraform or CloudFormation CI/CD experience for data pipelines Basic DevOps skills
AAP/EEO Statement:
3MD Inc. is an equal opportunity employer and does not discriminate based on gender, sex, age, race and color, religion, marital status, national origin, disability, sexual orientation, gender identity or expression, veteran status, or any other category that is protected by applicable law.
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Full job record
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| Provider | adp_workforcenow |
| Provider Job Key | 632542 |
| Title | Data Engineer & Database Administrator II |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Redmond, WA, US, Redmond, WA |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | WA |
| City | Redmond |
| Salary Raw | 99840.00 To 114400.00 (USD) Annually |
| Salary Min | 99,840 |
| Salary Max | 114,400 |
| Salary Currency | USD |
| Salary Period | year |
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| Apply URL | https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=fd0b11f1-419b-47c1-b1c8-8fa989415cd2&ccId=19000101_000001&lang=en_US&type=JS&jobId=632542&jwId=9205198538058_1 |
| First Seen At | 2026-05-31 18:14:01Z |
| Last Seen At | 2026-06-06 12:53:36Z |
| Last Checked At | 2026-06-06 12:53:36Z |
| Last Changed At | 2026-06-06 12:53:36Z |
| Inactive At | — |
| Source Posted At | 2026-05-13 22:31:00Z |
| Source Updated At | — |
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"requisitionDescription": "<div><div><p><strong>Benefits </strong></p><p style=\"margin-left:0in;\">U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company contribution, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 6 scheduled paid holidays. Additionally, eligible hourly/non-exempt and exempt employees accrue up to 112 hours of PTO based on years of service and may annually take up to 8 hours of paid volunteer time. Additional paid sick leave is also provided if required by state or local law.</p><p style=\"margin-left:0in;\"><strong>Summary of Position:</strong></p><p style=\"margin-left:0in;\">The Data Engineer & Database Administrator will build and maintain scalable data pipelines while ensuring databases are reliable, secure, and high-performing. This role works closely with analysts, engineers, and product teams to deliver clean and timely data.</p><p style=\"margin-left:0in;\"><strong>Essential Functions:</strong></p><ul><li class=\"fr-removed-block-0\">Design, build and maintain ETL/ELT pipelines across multiple systems </li><li style=\"text-align: left;\">Design and optimize data models in PostgreSQL, MongoDB, and Amazon Redshift </li><li style=\"text-align: left;\">Develop and manage data workflows using AWS (S3, Glue, Lambda, Step Functions, Kinesis) </li><li style=\"text-align: left;\">Administer and maintain database environments across development, staging, and production </li><li style=\"text-align: left;\">Monitor data pipelines and databases, troubleshoot issues, and implement alerts </li><li style=\"text-align: left;\">Optimize query performance, indexes, and configurations across relational and NoSQL systems </li><li style=\"text-align: left;\">Manage database provisioning, upgrades, backups, and disaster recovery (RDS, MongoDB, Redshift) </li><li style=\"text-align: left;\">Ensure database security, including access control, encryption, and role management </li><li style=\"text-align: left;\">Plan capacity and scale systems to support growing data needs </li><li style=\"text-align: left;\">Define and enforce data retention and archival policies </li><li style=\"text-align: left;\">Collaborate with analytics and product teams to support reporting and data needs </li><li style=\"text-align: left;\">Document data pipelines, database processes, and operational procedures </li><li style=\"text-align: left;\">Participate in code reviews and follow engineering best practices</li><li style=\"text-align: left;\">Lead small technical initiatives or projects</li><li style=\"text-align: left;\">Conduct or participate in code reviews with a coaching lens</li><li>Mentor or provide guidance to junior team members (Level I)</li></ul><p style=\"margin-left:0in;\"><strong>Competencies:</strong></p><ol start=\"1\" type=\"1\"><li style=\"margin-left:0in;\">Ensures Accountability</li><li style=\"margin-left:0in;\">Tech Savvy</li><li style=\"margin-left:0in;\">Communicates Effectively</li><li style=\"margin-left:0in;\">Values Differences</li><li style=\"margin-left:0in;\">Customer Focus</li><li style=\"margin-left:0in;\">Resourcefulness</li><li style=\"margin-left:0in;\">Drives Results</li><li style=\"margin-left:0in;\">Plans and Prioritizes</li><li style=\"margin-left:0in;\">Decision Quality</li><li style=\"margin-left:0in;\">Self-Development</li></ol><p style=\"margin-left:0in;\"><strong>Work Environment:</strong></p><p style=\"margin-left:0in;\">This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools.</p><p style=\"margin-left:0in;\"><strong>Physical Demands:</strong></p><p style=\"margin-left:0in;\">This role requires physical capabilities that support the successful execution of key responsibilities. The employee regularly engages in verbal and written communication with colleagues and clients to address project-related inquiries and must be able to convey accurate information clearly and efficiently. The position involves remaining seated at a workstation for approximately 75% of the time, with occasional movement throughout the office to access equipment, supplies, and shared resources. Daily tasks include consistent use of computers and standard office technology such as keyboards, printers, and multifunction devices. The role also involves transporting equipment boxes weighing up to 25 pounds within the building and to other offsite locations as needed for project support.</p><p style=\"margin-left:0in;\"><strong>Required Education and Experience:</strong></p><ul type=\"disc\"><li style=\"margin-left:0in;\">Bachelor's Degree Required</li><li style=\"margin-left:0in;\">3 - 5 Years of Experience</li></ul><p style=\"margin-left:0in;\"><strong>Qualifications:</strong></p><div style=\"margin-left:0in;\" data-pasted=\"true\"><ul style=\"list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-left:0in;\">3-5 years of experience in data engineering, database administration, or similar roles </li><li style=\"margin-left:0in;\">Strong experience with PostgreSQL, MongoDB, and Amazon Redshift </li><li style=\"margin-left:0in;\">Solid SQL skills for both transactional and analytical workloads </li><li style=\"margin-left:0in;\">Experience with AWS data and database services (S3, Glue, Lambda, RDS, Redshift, etc.) </li><li style=\"margin-left:0in;\">Proficiency in Python or another scripting language </li><li style=\"margin-left:0in;\">Experience with workflow orchestration tools (Airflow, Step Functions, etc.) </li><li style=\"margin-left:0in;\">Hands-on database administration experience, including: </li><li style=\"margin-left:0in;\">MongoDB (replica sets, sharding, indexing, backups) </li><li style=\"margin-left:0in;\">Redshift (cluster management, query tuning, WLM, snapshots) </li><li style=\"margin-left:0in;\">PostgreSQL (replication, performance tuning, connection pooling) </li><li style=\"margin-left:0in;\">Familiarity with monitoring tools (CloudWatch, pgBadger, MongoDB Atlas, etc.) </li><li style=\"margin-left:0in;\">Understanding of database security (encryption, auditing, least-privilege access)</li><li style=\"margin-left:0in;\">Strong problem-solving and analytical skills </li><li style=\"margin-left:0in;\">Ability to translate business needs into data solutions </li><li style=\"margin-left:0in;\">Comfortable working in a fast-paced, collaborative environment </li><li style=\"margin-left:0in;\">Clear communicator with both technical and non-technical audiences </li><li style=\"margin-left:0in;\">Self-motivated with a focus on clean, maintainable code</li></ul></div><p style=\"margin-left:0in;\"><strong>Nice to Have</strong></p><div style=\"margin-left:0in;\"><ul style=\"list-style-type: disc;margin-left: -0.25in;\"><li style=\"margin-left:0in;\">Experience with Kafka or Kinesis (streaming data) </li><li style=\"margin-left:0in;\">Familiarity with dbt for data transformation</li><li style=\"margin-left:0in;\">Knowledge of data lake/lakehouse architectures (Delta Lake, AWS Lake Formation)</li><li style=\"margin-left:0in;\">Experience with Terraform or CloudFormation </li><li style=\"margin-left:0in;\">CI/CD experience for data pipelines </li></ul></div><p>Basic DevOps skills</p><p style=\"margin-left:0in;\"><strong>AAP/EEO Statement:</strong></p><p style=\"margin-left:0in;\">3MD Inc. is an equal opportunity employer and does not discriminate based on gender, sex, age, race and color, religion, marital status, national origin, disability, sexual orientation, gender identity or expression, veteran status, or any other category that is protected by applicable law.</p><p style=\"margin-left:0in;\"><strong>Other Duties:</strong></p><p style=\"margin-left:0in;\">Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p></div></div>\n",
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