Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Big Impact Tech

Data Engineer

Career Insights for Data Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Washington, D.C. (District of Columbia) data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$107,478 / year median in Washington, D.C. (District of Columbia)

+11% projected growth

Explore Career

Job Description

Job Requirements Washington, DC Secret Polygraph not specified Mid Level Career (5+ yrs experience) Salary not specified Join Premium to unlock estimated salaries
Job Description Location:
Hybrid (Washington D.C) 2-3 days per week on-site
Clearance:
Active Secret Employment Type:
Full Time Company Description Big Impact Tech (BIT) is a Small Business providing IT and business management consulting to federal and commercial clients. We deliver mission-focused solutions in data, cloud, cybersecurity, and program management. Position Overview We are seeking a skilled Data Engineer with strong Databricks expertise to support Coast Guard data modernization, analytics, and cloud transformation initiatives. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data lakehouse solutions, and cloud-based data platforms that enable efficient data integration, storage, processing, and analytics. The candidate will work closely with data architects, analysts, developers, and business stakeholders to deliver reliable, secure, and high-performing data solutions. Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks and cloud-native technologies.
  • Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data. Develop and manage data ingestion frameworks from various source systems, APIs, databases, and files.
  • Implement and maintain Delta Lake architecture and Lakehouse solutions.
  • Develop PySpark, Spark SQL, and SQL-based transformations for large-scale data processing. Support data warehousing, data lakes, and enterprise analytics initiatives.
  • Monitor and optimize data pipeline performance, reliability, and scalability. Ensure data quality, governance, lineage, and security across data platforms.
  • Collaborate with business stakeholders and technical teams to understand requirements and deliver data solutions.
  • Implement CI/CD practices and automated deployment processes for data engineering solutions. Troubleshoot and resolve production issues related to data ingestion, transformation, and reporting. Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • 5+ years of experience in Data Engineering.
  • 3+ years of hands-on experience with Databricks. Strong experience with PySpark, Spark SQL, and SQL.
  • Experience building large-scale data pipelines and ETL/ELT solutions. Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Strong understanding of data modeling, data warehousing, and Lakehouse architectures. Experience working with relational and NoSQL databases. Preferred Qualifications
  • Experience supporting Coast Guard or other government-related programs.
  • Experience with Azure Databricks, Azure Data Factory, Microsoft Fabric, Synapse Analytics, or Snowflake.
  • Knowledge of Delta Lake, Unity Catalog, and Databricks Workflows. Experience with real-time and streaming data solutions.
  • Familiarity with DevOps practices, Git, CI/CD pipelines, and Infrastructure as Code. Experience with Power BI, Qlik, or Tableau reporting environments.
  • Relevant Databricks or cloud certifications preferred. Technical Skills
  • Databricks PySpark
  • Apache Spark Spark SQL SQL
  • Delta Lake
  • Data Lakehouse Architecture Azure Databricks
  • Azure Data Factory Microsoft Fabric
  • Snowflake
  • Data Warehousing
  • ETL/ELT Development
  • Git CI/CD
  • Cloud Platforms (Azure, AWS, GCP) group id: 91164055 Log in to view the job poster Apply now