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# Data Engineer

- **Company:** Diamondpick, Inc.
- **Location:** Brentwood, MD, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, BigQuery, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Github, Python (Programming Language), Systems Development Life Cycle, SQL Databases, Data Streaming, Unstructured Data, Data Ingestion, Snowflake, Apache Spark, Gitlab, Git, Pyspark, Data Management, Terraform, Data Pipelines, Jenkins, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75908871-data-engineer

## About the Role

2-4 years of hands-on Data Engineering experience

Strong Python and SQL

Hands-on Apache Spark / PySpark with exposure to Databricks.

Experience building production ETL/ELT pipelines, including batch and/or streaming

Good understanding of data modeling, data warehousing, incremental processing, and data quality

Experience with Git and CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab, or similar)

Working understanding of the SDLC and production support

At least one Associate-level or higher AWS, Azure, or GCP certification

Nice-to-Haves

Exposure to Terraform / Infrastructure as Code

Familiarity with Snowflake, Redshift, Synapse, or BigQuery

Experience with modern cloud data platforms

## Description

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and data solutions that enable reliable data ingestion, transformation, processing, and delivery. The role involves working with structured and unstructured data, building ETL/ELT pipelines, ensuring data quality and performance, and supporting analytics and business intelligence initiatives.