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Job Description

Slalom is hiring a Data Engineer to support the delivery of complex Data and AI projects. The role focuses on building data solutions with Databricks and partnering with cross-functional teams to design and optimize scalable data pipelines for business and analytics needs.

Location

  • Dallas, TX (onsite)
  • Houston, TX (onsite)

Role Responsibilities

  • Develop and implement data solutions using Databricks
  • Collaborate with cross-functional teams to design and optimize data pipelines

Required Qualifications

  • 3+ years of data engineering experience, including 1+ years of hands-on data pipeline design and development with Databricks
  • Proficiency in designing and building robust, scalable configuration-driven data pipelines
  • Proficiency with Big Data platforms: Apache Spark, Presto, and Amazon EMR
  • Experience with cloud data warehouses: Amazon Redshift, Snowflake, and Google BigQuery
  • Strong programming skills, including SQL, Python, and Java (and similar languages)
  • Exposure to Infrastructure as Code (IaC) tools such as Terraform
  • Familiarity with building DevOps and CI/CD pipelines
  • Exposure to AI/ML tooling such as 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

Compensation

  • Hourly pay range: $50/hr to $80/hr
  • Actual compensation will depend 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 and is committed to attracting, developing, and retaining highly qualified talent. Reasonable accommodations are available for candidates during all aspects of the selection process.

Additional Details

  • Date posted: Tuesday, September 22, 2026
  • Reference: 2384
  • Business function: Data & analytics

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