Jobs Companies Makpar Data Engineer

Sobre este puesto de Data Engineer en Makpar

Makpar · Híbrido · Washington D.C.
Who we are:

Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.

Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.

When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.


Makpar has an exciting opportunity for an experienced Data Engineer to support a federal client in advancing enterprise-scale analytics and data-driven decision-making. The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable, reliable, and secure data solutions through CI/CD and automation best practices.

Key Responsibilities:

•      Build, test, and maintain data pipelines using Python.
•      Design and optimize data structures, schemas, and ETL processes.
•      Develop SQL queries, reports, and dashboards to support business needs.
•      Manage database objects across development and testing environments.
•      Automate workflows using Databricks Workflows or Jobs API.
•      Integrate code into GitHub/GitLab and support CI/CD processes.
•      Troubleshoot data quality issues and perform data validation.
•      Collaborate with developers, analysts, and stakeholders to deliver reliable data solutions.

Qualifications:

•      Active Secret clearance (mandatory requirement).
•      Local Residency in Maryland, Virginia or Washington, DC.
•      Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field.
•      3–5 years of professional experience in data engineering.
•      Experience with Databricks, Apache Spark, and SQL.
•      Proficiency in Python and SQL.
•      Experience with ETL tools such as Airflow, Kafka, or AWS Glue.
•      Familiarity with GitHub/GitLab and CI/CD pipelines.
•      Experience working with cloud platforms such as AWS, Azure, or GCP.
•      Strong analytical, troubleshooting, and problem-solving skills.
•      Excellent communication and collaboration skills.

Clearance Requirement:

  •     Active Secret clearance (mandatory requirement).

Benefits:

At Makpar Corporation we understand that we all need to balance work and life – that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.

Start your career today and be a part of something meaningful!

Makpar is an Equal Opportunity Employer.
¿Listo para postularte en Makpar?
Postúlate en Makpar

Empleos similares

MetroStar
Sr. Data Center Infrastructure Engineer II (6663)
MetroStar
⚡ Postúlate pronto Washington, DC Presencial $170,000–$230,000
● Nuevo 👁 Visto ✓ Postulado hace 6h
Rocket Money
Senior Data Platform Engineer
Rocket Money
⚡ Postúlate pronto San Francisco, CA, Washington,... Presencial $160,000–$200,000
● Nuevo 👁 Visto ✓ Postulado hace 2d
Peregrine Technologies
Staff Software Engineer, Data Infrastructure
Peregrine Technologies
⚡ Postúlate pronto New York, NY Presencial $200,000–$275,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Peregrine Technologies
Staff Software Engineer, Data Infrastructure
Peregrine Technologies
⚡ Postúlate pronto Washington, D.C. Presencial $200,000–$275,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Peregrine Technologies
Staff Software Engineer, Data Infrastructure
Peregrine Technologies
⚡ Postúlate pronto San Francisco, CA Presencial $200,000–$275,000
● Nuevo 👁 Visto ✓ Postulado hace 4d
Planet
Senior Data Engineer
Planet
⚡ Postúlate pronto Washington DC; Denver, CO Híbrido $172,200–$215,200
● Nuevo 👁 Visto ✓ Postulado hace 1sem
Agile Defense
Data Engineer - CDAO
Agile Defense
⚡ Postúlate pronto Washington, D.C. Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1sem
Agile Defense
Data Engineer - CDAO Central
Agile Defense
⚡ Postúlate pronto Washington, D.C. Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1sem
DoorDash USA
Analytics Engineer, Data Science
DoorDash USA
⚡ Postúlate pronto Austin, TX; Chicago, IL; New Y... Presencial $117,500–$172,800
● Nuevo 👁 Visto ✓ Postulado hace 2sem

Regístrate para recibir sugerencias adaptadas a los empleos que abres y las búsquedas que guardas.

Más empleos en Makpar

Ver todos los empleos en Makpar →

Postúlate ahora
🤖

Un momento — para

JobsRadar se creó para personas reales que están pasando un mal momento en su búsqueda de empleo — no para solicitudes automatizadas. Estás haciendo clic demasiado rápido y ahora estás bloqueado temporalmente.

Vuelve más tarde. Si de verdad estás buscando empleo, cuentas con nosotros — solo compórtate como una persona.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Toma ventaja en tu búsqueda de empleo.

Únete a nuestro canal de Telegram para lo que te ayuda a conseguir el puesto — referencias salariales, el pulso semanal del mercado y avisos de nuevas funciones. Sin spam, solo señal.

Únete al canal — es gratis