Senior Consultant Data Engineer (DHS Public Trust)

Senior Consultant Data Engineer

Excella is a leading provider of Agile software development and data and analytics solutions to clients in the federal, commercial and non-profit sectors. We believe that great work leads to great things –- our experts measure success by the positive impact we make on our clients, community, and colleagues. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact.

Here's what you can expect from us:

• Workplace sites look different for everyone – whether it’s your home or the office, we believe in a flexible work/life balance that supports you regardless of your location. We offer a home office allowance that can be used for home office furniture/equipment, a daily pass for a coworking space, etc. Our commute reimbursement plan has you covered for whether you bike, Metro, or drive to work.

• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.

• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.

• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.

• Diversity and inclusion matter. Excella created and continues to support employee led-affinity groups and the Inclusion Diversity Equity Ambassador (IDEA) team, a cross-functional employee-led initiative to continually foster innovation and increase inclusion within Excella.

• We have a "bring your own device" workplace and will share the cost of a new computer of your choice -- Mac or PC. It's up to you.

• We'll invest in your career by providing 3 days of paid professional development every year, including travel and registration fees to attend classes and conferences.

• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Excella is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Overview

Senior Data Engineers at Excella play a key role in designing and building modern data solutions, including data lakes and cleansed data repositories. They develop robust, scalable, and sustainable data pipelines using batch and streaming technologies. Senior Data Engineers collaborate with cross-functional teams, including Architects, Data Scientists, and DevOps, to ensure data availability, quality, and integration. 

Responsibilities:

• Develop and manage data processes to ensure availability and usability. 

• Create and automate data pipelines and platforms. 

• Write clean, efficient, and well-documented code to support data engineering solutions. 

• Monitor and ensure data quality through automated testing frameworks. 

• Collaborate with Architects, Product Owners, Data Scientists, and DevOps to design, build, and maintain scalable data solutions. 

• Research data acquisition sources and evaluate suitability. 

• Integrate data management solutions into client environments. 

• Identify and mitigate risks to data while ensuring data recovery plans. 

• Build and maintain data repositories, including data warehouses, data lakes, and operational data stores. 

Qualifications:

• This role will require an active DHS Public Trust due to the immediate need of the position.

• 3+ years of professional experience in data engineering or related fields. 

• Proven ability to build robust, scalable data pipelines and production-grade ETL/ELT systems. 

• Strong proficiency in SQL, Python, and orchestration tools like Airflow and dbt. 

• Hands-on experience with big data technologies such as Spark, Kafka, and file formats like Parquet, Delta Lake, and Iceberg. 

• Deep experience with cloud data platforms (e.g., AWS Glue, S3, Redshift, EMR, BigQuery, or Azure equivalents). 

• Solid understanding of data modeling, performance optimization, and designing secure, well-structured data stores. 

• Familiarity with data lake and analytical architecture patterns, including Star Schema, schema-on-read, and data quality frameworks. 

• Experience with CI/CD, Git, infrastructure-as-code (e.g., Terraform), and NoSQL databases. 

• Effective communicator with experience working in Agile environments (Scrum/Kanban) and collaborating across technical and non-technical teams. 

• Strong problem-solving skills, a growth mindset, and a passion for learning new technologies. 

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact Recruiting@excella.com or 703-840-8600.