Senior Data Engineer
Senior Data Engineer
OMD USA LLC d/b/a Annalect Group
(Dallas, TX)
Contribute to the growth of the enterprise data warehouse (EDW) by working alongside stakeholders to
produce accurate information within database objects used in reporting, strategic planning and decision
making. Assist the Senior Director in developing long-term strategies and capacity planning for meeting
future data warehouse and data automation needs. Meet with end-users and data SMEs to clarify
requirements and business rules needed to design, develop, and implement ETL/ELT processes.
Collaborate with peer Data Engineers to build upon and support CI/CD pipelines hosted within extensive
GIT repository. Mentor emerging Data Analysts, provide feedback and suggestions for planned workflows
prior to deployment into production. Respond, investigate, and correct reported data inaccuracies within
the EDW compared to source and business-expected results. Establish relationships with external and
internal POCs to ensure seamless inbound and outbound Data Delivery expectations are met. Implement
and support backend maintenance processes that enforce ongoing data optimization and corporate
retention policies while ensuring the historical data needs of the client are met. Document and maintain all
the processes and procedures pertaining to ETL and data warehouse usage/development, contributing to
the team knowledgebase when applicable. Telecommuting may be permitted. When not telecommuting,
must report to 1999 Bryan Street, Dallas, TX 75201. Salary: $165,000 - $170,000 per year.
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Computer
Engineering, or related field, plus 5 years of professional experience as a Software Developer, Software
Engineer, or any occupation/position/job title involving building data pipelines and infrastructure.
Must also have experience in the following: 4 years of professional experience utilizing programming
languages including Python, C++, or Java; 4 years of professional experience working with relational
databases (including Postgres SQL, MySQL, or Microsoft SQL); 4 years of professional experience
utilizing data processing tools including Hadoop, Hive, or Spark; 4 years of professional experience with
AWS or GCP; 4 years of professional experience with designing and managing data flows, and designing
systems and APIs to integrate data into applications; 4 years of professional experience utilizing Linux,
Bash, Python, and SQL; 4 years of professional experience with AWS Cloud services (including EMR,
Glue, Athena, and Redshift); 2 years of professional experience building scalable data pipelines using
Airflow.
CONTACT: Send resume to: lorrie.lord@omnicommediagroup.com . Must specify Ad Code KBLL.