Senior Data Engineer – ETL and Data Modernization

CNX•Omaha, NE

1d•$78,250 - $94,356•Onsite

About The Position

We're looking for a highly analytical Data Engineer to help modernize and migrate business-critical data assets from SQL Server and SSIS-based environments to Teradata and/or Snowflake. In this role, you will trace complex legacy ETL and reporting dependencies, document end-to-end data lineage, and deliver accurate, validated migrations that preserve existing business logic and reporting behavior.

Requirements

4-10 years experience as a Data Engineer
Strong hands-on experience with SSIS packages and SQL Agent jobs.
Advanced SQL development and query optimization experience in SQL Server, Teradata, and Oracle.
Demonstrated experience with data lineage analysis, dependency tracing, and reverse engineering legacy ETL processes.
Proven background in data migration and modernization initiatives involving business-critical data and reporting logic.
Experience performing data validation, reconciliation testing, and migration quality assurance.
Strong knowledge of cross-platform SQL conversion and platform-specific considerations across SQL Server, Teradata, Oracle, and Snowflake.
Ability to independently trace complex tables, views, stored procedures, SSIS workflows, and job orchestration after onboarding.
Strong analytical thinking, structured problem-solving, and attention to detail.
Excellent written and verbal communication skills with the ability to clearly document lineage, risks, and technical decisions.
Experience supporting architecture reviews, historical data migration, production cutover, and implementation activities.
Must be onshore and able to work onsite in Omaha, NE preferred, even if remote flexibility is considered.

Nice To Haves

Experience with Snowflake in migration or modernization programs.
Experience with Informatica or other ETL/data integration tools.
Background in data warehousing and enterprise reporting ecosystems.
Industry experience in railroad, transportation, or logistics environments.

Responsibilities

Analyze and reverse engineer legacy SQL Server, SSIS packages, stored procedures, views, tables, and SQL Agent jobs to understand existing data flows and business logic.
Lead data engineering activities to migrate SQL Server tables and ETL workloads to Teradata and/or Snowflake environments.
Trace and document end-to-end data lineage, upstream/downstream dependencies, technical risks, assumptions, and migration decisions.
Perform cross-platform SQL conversion across SQL Server, Teradata, Oracle, and Snowflake while maintaining performance, accuracy, and functional equivalence.
Optimize SQL queries and data processing logic for scalability, efficiency, and reliability across multiple database platforms.
Partner with technical teams, project leadership, architects, and business stakeholders to validate requirements and ensure migration outcomes align to expected reporting behavior.
Support architecture reviews and contribute to migration planning, sequencing, and implementation strategy.
Execute data validation, reconciliation, and testing activities to confirm completeness, integrity, and consistency of migrated datasets.
Assist with historical data migration, implementation readiness, production cutover, and post-deployment support.
Identify issues proactively, solve complex dependency challenges, and deliver clear technical documentation throughout the migration lifecycle.