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Job Description

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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