Senior Databricks Engineer - Lead Data Platform Solutions
Slalom
Detroit (MI)
On-site
USD 96,000 - 120,000
Full time
14 days+
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Benefits offered by this job
401(k) with match
Paid holidays
Health, dental, & vision benefits
Well-being reimbursement account
Adoption and fertility assistance
Job summary
Slalom is seeking a Senior Engineer in the Databricks practice to lead innovative data solutions. Responsibilities include the development of data pipelines and collaboration with cross-functional teams. The ideal candidate will have over 5 years of experience in data engineering, specifically with Databricks and related tools. The position offers a targeted salary of $96,000 to $120,000 along with benefits including 401(k) matching and comprehensive health coverage.
Qualifications
5+ years of data engineering experience, with at least 2 years of Databricks.
Proficient in designing robust, scalable data pipelines.
Hands-on experience with Delta Lake, Delta Live Tables, and Unity Catalog.
Responsibilities
Develop and implement data solutions using Databricks.
Collaborate with teams to optimize data pipelines.
Stay updated with emerging Databricks technologies.
Skills
Data engineering experience
Data pipeline design and development
Programming skills in SQL and Python
Continuous integration / continuous deployment
Cloud Data Warehouses knowledge
Education
Databricks Data Engineering Associate/Professional certification
Tools
Databricks
Airflow
Terraform
Apache Spark
Amazon Redshift
Snowflake
Google BigQuery
Job description
Slalom is seeking a Senior Engineer in the Databricks practice to lead innovative data solutions. Responsibilities include the development of data pipelines and collaboration with cross-functional teams. The ideal candidate will have over 5 years of experience in data engineering, specifically with Databricks and related tools. The position offers a targeted salary of $96,000 to $120,000 along with benefits including 401(k) matching and comprehensive health coverage.