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Data Engineer

Posted today

slalomDallas (TX)

SENIORITY

Senior

SALARY

$50.00 - $80.00 per hour

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About the role

Slalom is hiring a Data Engineer to help deliver complex Data and AI projects and build reliable data solutions.
Responsibilities: Develop and implement data solutions using Databricks Collaborate with cross-functional teams to design and optimize data pipelines Requirements 3+ years of data engineering experience 1+ years of hands-on data pipeline design and development experience with Databricks Ability to design and build robust, scalable configuration driven data pipelines Proficiency in Big Data Platforms : Apache Spark, Presto, Amazon EMR Experience with cloud data warehouses: Amazon Redshift, Snowflake, Google BigQuery Strong programming skills including SQL, Python, Java, etc. Exposure to Infrastructure as Code (IaC) tools such as Terraform Familiarity with DevOps practices and CI/CD pipelines Exposure to AI/ML tools and workflows including MLflow, prompt engineering, and modern data/AI agentic workflows Technologies Databricks Apache Spark, Presto Amazon EMR Amazon Redshift, Snowflake, Google BigQuery SQL, Python, Java Terraform DevOps, CI/CD MLflow Preferred Qualifications Databricks Certification Location Dallas, TX (onsite) Houston, TX (onsite) Compensation Hourly pay range: $50/hr to $80/hr Actual compensation depends on skills, experience, qualifications, location, and other relevant factors Benefits Meaningful time off and paid holidays Parental leave 401(k) with a match Highly subsidized health, dental, and vision coverage Adoption and fertility assistance Short-term and long-term disability Yearly $350 reimbursement account for well-being-related expenses Discounted home, auto, and pet insurance Equal Opportunity and Accommodations Slalom is an equal opportunity employer committed to attracting, developing, and retaining highly qualified talent Reasonable accommodations are available for candidates during all aspects of the selection process Date posted: Tuesday, September 22, 2026 Reference ID: 2384

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