The work:
Data Engineer is responsible for creating efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, Load) processes to facilitate the seamless migration and deployment of data across systems. The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and accessibility throughout the transition to cloud environments.
Key Responsibilities:
Here's what you need:
Preferred experience:
"You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Data Engineer in St. Louis, MO
The salary range for the Data Engineer in St. Louis, MO position at Accenturefederalservices is USD 115k+/yr.
The Data Engineer in St. Louis, MO position at Accenturefederalservices is based in St. Louis, MO; St. Louis, Missouri, United States. This is an on-site position.
The Data Engineer in St. Louis, MO position at Accenturefederalservices requires 5+ yrs exp.
Key skills for the Data Engineer in St. Louis, MO position at Accenturefederalservices include: aws, google cloud, azure, python, sql, snowflake.