Data Engineer

Overview

On Site
Hybrid
$50 - $80
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Hands-on expertise with Spline
OpenLineage
Marquez
or comparable lineage frameworks Deep understanding of metadata capture
ETL process tracing
and query execution mapping Strong AI/ML background particularly in metadata intelligence
natural language processing for code parsing
or pattern detection Experience integrating lineage with data governance tools (e.g.
Collibra
Alation
etc.) Strong programming background in Python
Scala
or Java Deep familiarity with SQL and query logs from systems like Snowflake
SQL Server
Oracle
MongoDB
etc.

Job Details

Job Description -

Need Data Engineer for this role

FINAL INTERVIEW FACE TO FACE

Collibra Data Lineage Engineer with Automation

Location: Role is on-site 5 days/week in McLean, VA.

Client: Capco/Freddie Mac

FINAL INTERVIEW FACE TO FACE

MUST HAVE BANKING AND FINANCE EXPEREINCE

We are seeking a highly experienced Data Lineage Automation Engineer to lead the design and implementation of automated end-to-end lineage solutions across a highly heterogeneous enterprise data ecosystem. This role requires deep technical expertise in lineage frameworks (such as Spline and OpenLineage), experience across cloud and legacy environments, and a strong AI foundation to support intelligent metadata extraction and traceability.

Required Skills & Experience

  • Proven experience delivering automated data lineage solutions across hybrid architectures

Hands-on expertise with Spline, OpenLineage, Marquez, or comparable lineage frameworks

  • Deep understanding of metadata capture, ETL process tracing, and query execution mapping
  • Strong AI/ML background particularly in metadata intelligence, natural language processing for code parsing, or pattern detection
  • Experience integrating lineage with data governance tools (e.g., Collibra, Alation, etc.)
  • Strong programming background in Python, Scala, or Java
  • Deep familiarity with SQL and query logs from systems like Snowflake, SQL Server, Oracle, MongoDB, etc.
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