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# Data Engineer - West Region

- **Company:** Slalom, LLC
- **Location:** Houston, TX, United States
- **Salary:** $100,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, BigQuery, Cloud Computing, Computer Programming, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Distributed Computing Environment, Data Flow Control, Python (Programming Language), Machine Learning, Operational Databases, SQL Databases, Data Streaming, Feature Store, Google Cloud, Azure Data Factory, Retrieval-Augmented Generation, Snowflake, Apache Spark, Generative AI, Agentic-AI, Data Layers, Microsoft Fabric, Data Lakes, AI Platforms, Kubernetes, Apache Kafka, Machine Learning Operations, Virtual Agents, Terraform, Azure Synapse Analytics, Amazon Redshift, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5927232622

## About the Role

* Hands-on experience designing, building, testing, deploying, or supporting production data engineering solutions.
 * Experience with at least one major cloud or data platform, such as AWS, Azure, GCP, Databricks, or Snowflake. Experience across multiple platforms is valued but not required.
 * Proficiency in programming languages such as SQL, Python, Java and or Scala.
 * Experience with several modern data engineering capabilities, such as data modeling, ETL/ELT, distributed processing, lakehouse architectures, streaming, APIs, orchestration, or data platform modernization.
 * Familiarity with relevant technologies, which may include Spark, Kafka, Airflow, dbt, Dagster, Azure Data Factory, BigQuery, Redshift, Synapse, Microsoft Fabric, Delta Lake, Unity Catalog, Dataplex, Dataflow, Pub/Sub, Kinesis, Kubernetes, Terraform, or comparable tools.
 * Understanding of how high-quality, secure, governed, and observable data foundations support AI, ML, Generative AI, retrieval-augmented generation, and agentic solutions.
 * Experience with AI-enabled or agentic engineering practices, including using AI-assisted development tools and designing data workflows or platforms that can support intelligent agents and automated decision workflows.
 * A commitment to responsible engineering, including privacy, security, transparency, testing, monitoring, and appropriate human oversight for AI-enabled solutions.
 * Strong problem-solving, communication, and collaboration skills, with an ability to explain technical concepts to different audiences.
 * A curious, growth-oriented mindset and willingness to learn new platforms, tools, and delivery approaches.
Additional Experience That May Be Helpful

 * Cloud, Databricks, or Snowflake certifications.
 * Experience in consulting or in client-facing, cross-functional delivery teams.
 * Experience with MLOps, LLMOps, vector databases, model or prompt monitoring, feature stores, semantic layers, or AI platform operations.
 * Experience modernizing legacy data environments or migrating workloads to cloud platforms.
 * Experience mentoring others or contributing to technical communities and reusable assets.