Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 46d ago
The date the source published, not the day we noticed it (2026-08-26). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2264 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 7h ago · last seen just now
The listing
Senior Data Engineer – Ab Initio / Snowflake
Description:
We are looking for a Senior Data Engineer with strong experience in Ab Initio and Snowflake to design, develop, and support enterprise-scale data integration and data warehouse solutions.
You will work within a large-scale Azure data environment, supporting high-volume ETL/ELT processes, complex data pipelines, metadata management, and cloud modernization initiatives. The role is ideal for a hands-on technical expert comfortable working with complex data ecosystems and hundreds of Ab Initio processes.
Responsibilities:
- Design, develop, and support high-volume ETL/ELT data integration solutions using Ab Initio and Snowflake.
- Develop and maintain Ab Initio graphs, Plans, PSETS, Continuous Flows, and batch processing frameworks.
- Build reusable ETL components, transformations, DML files, XFRs, and PDL scripts.
- Manage and support Ab Initio EME / Metadata Hub, including metadata, lineage, impact analysis, and dataset mapping.
- Develop and optimize Snowflake solutions, including Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning.
- Perform advanced SQL development, query optimization, data reconciliation, and data quality validation.
- Design and maintain data warehouse solutions using dimensional modeling, Star/Snowflake schemas, and Data Vault concepts.
- Develop automation and operational support tools using Python and Shell scripting (KSH/Bash).
- Support batch, real-time, file-based, and API-driven data integrations.
- Participate in CI/CD, Git-based development, code promotion, branching, and release management processes.
- Troubleshoot production issues and ensure the reliability, scalability, and performance of data pipelines.
- Collaborate with technical and business teams to translate data requirements into scalable solutions.
- Work with healthcare data domains, including claims, membership, providers, health plans, benefits, and employer/group data.
Your Qualifications:
- 6+ years of hands-on experience with Ab Initio development.
- 4+ years of experience with Snowflake development and architecture.
- Advanced SQL skills, including complex joins, subqueries, stored procedures, dynamic SQL, and query tuning.
- Strong experience with Ab Initio EME / Metadata Hub, version control, sandbox management, check-in/check-out, and tag promotion.
- Experience with data warehouse architecture, dimensional modeling, Star/Snowflake schemas, Data Vault, MDM concepts, and source-to-target mapping.
- Proficiency in Python and Shell scripting (KSH/Bash).
- Strong understanding of ETL/ELT patterns, batch and real-time processing, API integrations, and large-scale data movement.
- Experience with DevOps and CI/CD, including Git, branching strategies, automated deployments, and release management.
- Experience working with Azure-based data environments.
- Knowledge of healthcare data, particularly:
- Claims: Professional, institutional, medical, pharmacy, encounter, and adjudication data.
- Membership: Enrollment, eligibility, coverage, benefits, population health, and member attribution.
- Provider: Directories, networks, contracting, NPI, attribution, and provider hierarchies.
- Health Plans: Benefits, products, groups, and employer data.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work independently in a complex enterprise data environment and collaborate effectively with cross-functional teams.
Metova Talent is interested in every qualified candidate who is eligible to work and reside in the United States. However, we will not consider applicants who are not U.S. citizens, U.S. nationals, lawful permanent residents, asylees, or refugees.
Metova Talent is an Affirmative Action and Equal Opportunity Employer.
*Notice to Third Party Recruitment Agencies:
Please note that Metova Talent does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee.
In the event a recruiter or agency submits a resume or candidate without an agreement, Metova Talent shall explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Metova Talent.