Excella, Inc
Senior Consultant Data Engineer (DHS Public Trust)
Excella, Inc, Arlington, Virginia, United States, 22201
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 grow fast and need passionate, innovative people who love working with technology and are ready to make an impact.
Benefits
Flexible work/life integration for a distributed workforce (home office or client site)
Top‑of‑industry medical, dental, and vision benefits with multiple options (health savings account, infertility coverage, orthodontia)
Parental leave (8 weeks), discounted pet insurance, and Care.com membership with 3 emergency child/elder care days per year (available from day one)
Bonus eligibility from day one and 15 days of paid vacation, 6 federal holidays, and 4 floating holidays
TechEleX program: choice of Mac or PC, replacement every 3 years, and the original device for personal use
$25 monthly internet reimbursement
3 days of paid professional development per year (including travel and registration fees)
Mindfulness and overall well‑being support—HeadSpace membership, TalkSpace access, and mental health coverage through medical plans
Home‑office allowance for furniture/equipment, daily pass for coworking spaces, and commute reimbursement (bike, Metro, drive)
Employee‑led affinity groups and the Inclusion Diversity Equity Ambassador (IDEA) team
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 and collaborate with cross‑functional teams—Architects, Data Scientists, 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
Active DHS Public Trust required
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 such as Airflow and dbt
Hands‑on experience with big‑data technologies (Spark, Kafka) and file formats (Parquet, Delta Lake, Iceberg)
Deep experience with cloud data platforms (AWS Glue, S3, Redshift, EMR, BigQuery, or Azure equivalents)
Solid understanding of data modeling, performance optimization, and secure, well‑structured data stores
Familiarity with data lake and analytical architecture patterns (Star Schema, schema‑on‑read, data quality frameworks)
Experience with CI/CD, Git, infrastructure‑as‑code (Terraform), and NoSQL databases
Effective communicator with Agile (Scrum/Kanban) experience and cross‑functional collaboration
Strong problem‑solving skills, growth mindset, and 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, contact Recruiting@excella.com or 703‑840‑8600.
#J-18808-Ljbffr
Benefits
Flexible work/life integration for a distributed workforce (home office or client site)
Top‑of‑industry medical, dental, and vision benefits with multiple options (health savings account, infertility coverage, orthodontia)
Parental leave (8 weeks), discounted pet insurance, and Care.com membership with 3 emergency child/elder care days per year (available from day one)
Bonus eligibility from day one and 15 days of paid vacation, 6 federal holidays, and 4 floating holidays
TechEleX program: choice of Mac or PC, replacement every 3 years, and the original device for personal use
$25 monthly internet reimbursement
3 days of paid professional development per year (including travel and registration fees)
Mindfulness and overall well‑being support—HeadSpace membership, TalkSpace access, and mental health coverage through medical plans
Home‑office allowance for furniture/equipment, daily pass for coworking spaces, and commute reimbursement (bike, Metro, drive)
Employee‑led affinity groups and the Inclusion Diversity Equity Ambassador (IDEA) team
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 and collaborate with cross‑functional teams—Architects, Data Scientists, 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
Active DHS Public Trust required
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 such as Airflow and dbt
Hands‑on experience with big‑data technologies (Spark, Kafka) and file formats (Parquet, Delta Lake, Iceberg)
Deep experience with cloud data platforms (AWS Glue, S3, Redshift, EMR, BigQuery, or Azure equivalents)
Solid understanding of data modeling, performance optimization, and secure, well‑structured data stores
Familiarity with data lake and analytical architecture patterns (Star Schema, schema‑on‑read, data quality frameworks)
Experience with CI/CD, Git, infrastructure‑as‑code (Terraform), and NoSQL databases
Effective communicator with Agile (Scrum/Kanban) experience and cross‑functional collaboration
Strong problem‑solving skills, growth mindset, and 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, contact Recruiting@excella.com or 703‑840‑8600.
#J-18808-Ljbffr