ASRC Federal Technology Solutions, a subsidiary of ASRC Federal, is seeking a Data Architect to remotely support our DHS program that we are bidding on. This position is contingent upon award.
The Data Engineer will design, build, and maintain scalable data architectures and pipelines that support data quality improvement efforts under the ICE LESA Data Quality Improvement Support Services contract. This role is responsible for ensuring efficient ingestion, transformation, and management of data across multiple systems, collaborating closely with data scientists, analysts, and technical teams to enhance data accessibility and reliability. Key responsibilities include maintaining data integrity, conducting root cause analysis of data issues, and implementing solutions that streamline data processes and improve operational efficiency. Strong technical expertise and the ability to work effectively with cross-functional stakeholders are essential to ensure data solutions are delivered on time, within scope, and aligned with organizational standards.
Key Responsibilities:
- Design, construct, test, and maintain scalable data pipelines and architectures to support data ingestion and transformation.
- Collaborate with data scientists and analysts to implement data solutions that uncover insights and improve data quality.
- Perform root cause analysis to identify data errors and propose solutions for remediation.
- Continuously analyze and optimize data processes and systems for efficiency and performance.
- Validate and ensure the reliability of data through systematic testing and monitoring of data quality metrics.
- Document data engineering processes, system workflows, and best practices for stakeholder reference.
- Collaborate with Error Response Teams (ERTs) to support remediation of data quality issues.
Qualifications:
Education: Minimum bachelor's degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline; an advanced degree (master's or doctorate) is preferred.
Experience:
- At least eight (8) years of experience in data science, advanced analytics, or a closely related field, with hands-on experience designing and implementing analytical solutions in operational settings.
- Advanced proficiency in data engineering tools and technologies such as Python, SQL, and ETL processes.
- Experience with cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, Spark).
- Strong understanding of data modeling, data architecture, and database management principles.
- Proven experience in data validation, data cleansing, and data quality assessment techniques.
- Excellent analytical skills combined with the ability to think critically and solve complex problems.
Certifications/Clearance:
- Relevant data engineering certifications (e.g., AWS Certified Data Engineer - Associate, Google Professional Data Engineer) are a plus
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
