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Data Engineer

Anteriad · Remote-US · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyAnteriad
TitleData Engineer
Normalized title-
Department / teamDatabase Solutions
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-23 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Anteriad.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Database Solutions.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAnteriad
Source6a67a1e1-e9ba-418d-92c4-e611daff0531
ATS providerGreenhouse

Description

Come Join Our Team At Anteriad and innovate the way B2B marketers make data-driven business decisions. About Anteriad We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers. Why Join Our Database Solutions Team? As our Data Engineer, you will support our custom data platforms. This role focuses on building, maintaining, and continuously evolving data ingestion and transformation pipelines using Azure Data Factory, Databricks, and emerging Microsoft Fabric capabilities, while preserving and reusing existing SQL logic wherever possible. You will play a key role as we modernize and migrate SQL Server–based workloads currently running on Azure virtual machines to Azure ‑ native data services. You will stand out if you have hands ‑ on experience using Azure data tools as well as SQL Server experience. Each custom data platform is actively maintained and enhanced over time to support new and evolving requests from campaign services and analytics teams. You must be comfortable working on ongoing, parallel initiatives, balancing modernization work with continuous delivery of incremental enhancements. Anteriad means “always moving forward” and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive: Flexible PTO & Company Holidays Flexible Schedule Continuous Professional Training and Development Mix Of Collaborative & Independent Work Community Outreach Opportunities via Anteriad Cares Professional Global Mentoring Program - Career Guidance From Leadership Great Benefits For You And Your Family Benefits We Bring To You: Comprehensive medical (choice of 3 plans), dental and vision coverage Company paid short-term disability, long term disability and life Insurance Optional supplemental life, accident and critical illness insurance plans 401K with company match Flexible PTO and generous holiday schedule Fully paid primary caregiver leave (12 weeks) & parental bonding leave (2 weeks) What You’ll Do: Build and maintain data ingestion pipelines using Azure Data Factory (ADF) to move data into the corporate Azure Data Lake and related platforms. Develop and enhance data transformation logic in Databricks notebooks, primarily leveraging SQL ‑ based transformations in existing SQL scripts and stored procedures. Support a medallion data architecture (Bronze, Silver, Gold) with Silver and Gold datasets stored primarily in Parquet format. Assist in migrating SQL Server–based processes (scripts, stored procedures, SSIS logic) running on Azure VMs into Azure ‑ native pipelines and Databricks transformations. Continuously update and enhance existing database solutions and systems based on new and evolving requirements from marketing campaign activation and analytics teams, ensuring data remains accurate, timely, and fit for purpose. Manage multiple concurrent initiatives, including modernization efforts and ongoing enhancement requests, while maintaining platform stability and data quality. Configure Azure Data Factory pipelines to orchestrate Databricks notebooks and Fabric ‑ related processes as applicable. Use Azure DevOps for source control, versioning, and deployment of Azure Data Factory, Databricks, and Fabric assets. Test, monitor, and troubleshoot pipelines to ensure data reliability, performance, and quality. Collaborate with senior engineers, project managers, campaign services, analytics, and platform teams to deliver ongoing data solutions. Participate in the adoption and use of Microsoft Fabric, understanding how Fabric components (e.g., OneLake, Lakehouse, Warehousing) integrate with existing Azure and Databricks workflows. Maintain technical documentation for data pipelines, transformations, and datasets What You’ll Bring: Required Qualifications: Hands ‑ on experience building or supporting pipelines in Azure Data Factory. Experience developing data transformations in Databricks , preferably using SQL within notebooks. Experience working with Azure Data Lake Storage or similar cloud storage platforms. Familiarity with modern data lake and analytics concepts, including medallion architecture. Experience with SQL Server , including writing, maintaining, and understanding complex SQL scripts and stored procedures. Experience using Git / Azure DevOps for source control. Experience with Python for use in Databricks notebooks and supporting data pipeline operations. Ability to follow established architectural patterns and implementation standards. Strong analytical, troubleshooting, and communication skills. Nice ‑ to ‑ Have Qualifications: Exposure to Microsoft Fabric , including Lakehouse, Warehousing, or OneLake concepts. Experience integrating or evaluating Fabric alongside existing Azure and Databricks ecosystems. Experience migrating SQL Server workloads from Azure VMs to Azure ‑ native or Fabric ‑ based platforms. Prior exposure to SSIS and translating ETL logic into cloud ‑ based pipelines. Familiarity with data governance and data hygiene best practices, supporting clean, consistent, and trustworthy data for downstream use. #LIremote Our Values: Lead & Learn We lead with unrivaled vision, innovation and execution, always learning and embracing new ways of doing things to stay out in front​ Collaborate & Celebrate We build great things when we work together as one Anteriad team, celebrating our achievements – both great and small – along the way ​ Innovate & Inspire We are always looking for bold new ways to exceed the expectations of our customers and to inspire each other to even greater success​ Do More & Do Good We go above and beyond in the service of our clients and colleagues, and the communities where we live Notice to California Applicants: We collect and process personal information as described in our California Applicant Privacy Notice, in compliance with the California Consumer Privacy Act (CCPA/CPRA). Please review the notice here: Anteriad Privacy Policy

Full job record

Job ID184fd954705147e4697c90a9d79c4a6897460d98
Org ID8376de27-a4a3-4cec-a749-59a6162194e9
Source ID6a67a1e1-e9ba-418d-92c4-e611daff0531
Board ID6a67a1e1-e9ba-418d-92c4-e611daff0531
Providergreenhouse
Provider Job Key5980230004
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote-US
DepartmentDatabase Solutions
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/anteriad/jobs/5980230004
Apply URLhttps://job-boards.greenhouse.io/anteriad/jobs/5980230004
First Seen At2026-05-29 22:41:14Z
Last Seen At2026-06-06 20:36:57Z
Last Checked At2026-06-06 20:36:57Z
Last Changed At2026-05-29 22:41:14Z
Inactive At
Source Posted At2026-04-23 17:26:51Z
Source Updated At2026-05-14 20:29:38Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=anteriad/date=2026-06-06/2026-06-06T20-36-57-571Z-8e95203d3ca3bc9027507ab98b3ff57f18a3c424c34f902584466057bfa26edb.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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      "name": "Database Solutions",
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  "company_name": "Anteriad ",
  "requisition_id": 5146405004,
  "first_published": "2026-04-23T13:26:51-04:00",
  "application_deadline": null
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/184fd954705147e4697c90a9d79c4a6897460d98?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/8376de27-a4a3-4cec-a749-59a6162194e9JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/6a67a1e1-e9ba-418d-92c4-e611daff0531JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/184fd954705147e4697c90a9d79c4a6897460d98/eventsJSON