Job Title: Sr. Data Engineer Databricks
This is a direct hire role
Location of role: St. Louis / Clayton Mo. on-site hybrid role 1 to 3 days a week after rampup could be 1 day a week. Good work/life balance.
Salary base $135K to $155K plus a nice 10% potential bonus - Depending on experience DOE
Who this role is great for:
-
Youre a senior-level data engineer AWS who enjoys building reliable scalable data solutions
-
You like owning your work end-to-end from design through production support
-
Youre analytical curious and comfortable working through complex problems
-
You enjoy collaborating with smart teammates and supporting real business users
-
You want your work to matter at a respected investment management firm
What youll do:
-
Build enhance and support ETL/ELT data pipelines used across the firm
-
Partner with a variety of teams to deliver high-impact data solutions
-
Design develop test and maintain both new and existing data workflows
-
Work on projects with real deadlines and real business impact
-
Support production systems including:
-
Responding to high-severity incidents when they arise
-
Reviewing code and contributing to team quality standards
-
Participating in an on-call rotation with your peers
-
Independently troubleshoot and resolve data integration issues
-
Thrive in a fast-moving collaborative engineering environment
What you bring:
-
A bachelors degree in Computer Science or a related field
(or equivalent hands-on experience)
-
5 years of experience building ETL/ELT pipelines
-
Strong SQL skills and experience working with production data systems
-
Experience programming in Python C# or similar languages
-
Hands-on experience with AWS (including Lambda S3 and Airflow)
-
Experience working with Databricks or PySpark for large-scale data processing
-
A thoughtful detail-oriented approach to solving problems
-
Strong communication skills and a customer-focused mindset
Nice to have:
-
Experience with SQL Server and/or PostgreSQL
-
SSIS or similar data integration tools
-
Workflow orchestration or automation experience (e.g. Airflow)
-
Experience working in an Agile development environment
If applying for this role - Please take each key point and provide number of years experience and what you would rate yourself 1 thru 10 (10 being expert) for each key point. Send your resume and notes on the role to expediate our recruiting services.
Job Title: Sr. Data Engineer Databricks This is a direct hire role Location of role: St. Louis / Clayton Mo. on-site hybrid role 1 to 3 days a week after rampup could be 1 day a week. Good work/life balance. Salary base $135K to $155K plus a nice 10% potential bonus - Depending on experience D...
Job Title: Sr. Data Engineer Databricks
This is a direct hire role
Location of role: St. Louis / Clayton Mo. on-site hybrid role 1 to 3 days a week after rampup could be 1 day a week. Good work/life balance.
Salary base $135K to $155K plus a nice 10% potential bonus - Depending on experience DOE
Who this role is great for:
-
Youre a senior-level data engineer AWS who enjoys building reliable scalable data solutions
-
You like owning your work end-to-end from design through production support
-
Youre analytical curious and comfortable working through complex problems
-
You enjoy collaborating with smart teammates and supporting real business users
-
You want your work to matter at a respected investment management firm
What youll do:
-
Build enhance and support ETL/ELT data pipelines used across the firm
-
Partner with a variety of teams to deliver high-impact data solutions
-
Design develop test and maintain both new and existing data workflows
-
Work on projects with real deadlines and real business impact
-
Support production systems including:
-
Responding to high-severity incidents when they arise
-
Reviewing code and contributing to team quality standards
-
Participating in an on-call rotation with your peers
-
Independently troubleshoot and resolve data integration issues
-
Thrive in a fast-moving collaborative engineering environment
What you bring:
-
A bachelors degree in Computer Science or a related field
(or equivalent hands-on experience)
-
5 years of experience building ETL/ELT pipelines
-
Strong SQL skills and experience working with production data systems
-
Experience programming in Python C# or similar languages
-
Hands-on experience with AWS (including Lambda S3 and Airflow)
-
Experience working with Databricks or PySpark for large-scale data processing
-
A thoughtful detail-oriented approach to solving problems
-
Strong communication skills and a customer-focused mindset
Nice to have:
-
Experience with SQL Server and/or PostgreSQL
-
SSIS or similar data integration tools
-
Workflow orchestration or automation experience (e.g. Airflow)
-
Experience working in an Agile development environment
If applying for this role - Please take each key point and provide number of years experience and what you would rate yourself 1 thru 10 (10 being expert) for each key point. Send your resume and notes on the role to expediate our recruiting services.
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