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Always Connecting, Always Evolving.
TECHEAD is seeking qualified applicants for the following Contract-To-Hire position – Data Engineer / Washington DC – (JOB-22317). If you are looking for a new opportunity and this position looks to be a fit, please apply to see the TECHEAD difference that has made us successful for 30+ years!
You can find more about our team and values by checking us out at TECHEAD.com or on Glassdoor
Job Description:
This position is Fully Remote / Work From Home.
Role Overview
We are seeking a talented and driven Data Engineer to design, build, and maintain our next-generation data architecture. In this role, you will be the backbone of our data ecosystem, transforming raw data into actionable insights. You will collaborate with cross-functional teams to build scalable pipelines, ensure pristine data quality, and leverage cloud-native technologies to drive business growth.
Key Responsibilities
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Pipeline Architecture: Design, build, and maintain scalable, end-to-end data pipelines using Databricks, Spark, and related technologies.
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Data Transformation: Develop efficient data processing and transformation workflows to support complex analytics and reporting needs.
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System Integration: Integrate diverse data sources—including APIs, databases, and cloud storage—into unified, accessible datasets.
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Cross-Functional Collaboration: Partner closely with data science, analytics, and business units to design and implement data solutions aligned with strategic goals.
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Data Quality & Observability: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
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Governance & Automation: Champion and contribute to data governance, security compliance, and automation initiatives across the data ecosystem.
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Cloud Architecture: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy solutions in a cloud-native environment.
Qualifications & Skills
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Languages: Strong proficiency in Python, SQL, Spark, and PySpark.
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Data Platforms: Hands-on experience with modern platforms like Databricks, Palantir, or Snowflake.
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Cloud ETL Services: Experience managing ETL workflows via AWS Glue, Google Cloud Dataflow, or Azure Data Factory.
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Data Warehousing: Familiarity with cloud data warehousing technologies such as Amazon Redshift, Google BigQuery, or Snowflake.
TECHEAD’s mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won’t strive for anything less.
TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
For more information on TECHEAD please visit www.techead.com.
No second parties will be accepted.