Unissant

Data Engineer

Unissant$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data engineering or software engineering.
  • Strong proficiency in Python and SQL.
  • Experience building ETL/ELT pipelines with relational and non-relational databases.
  • Familiarity with cloud environments and orchestration tools.
  • Preferred experience supporting federal or intelligence community clients.
  • Understanding of data quality and governance standards.
  • Ability to troubleshoot data performance issues.

Responsibilities

  • Design, build, and optimize data pipelines for analytics and reporting.
  • Develop ingestion and transformation processes for diverse data.
  • Collaborate with stakeholders to define data requirements and solutions.
  • Support data quality and lifecycle management in cloud environments.
  • Create reusable engineering patterns for data solutions.
  • Prepare data for analytics and reporting tools.
  • Implement DevSecOps practices for data engineering tasks.

Benefits

  • Hybrid work model with occasional local travel.
  • Engagement with mission-focused environments.
  • Opportunity to support federal and intelligence community clients.
  • Collaborative environment with technical and stakeholder teams.
Full Job Description
We are seeking a Data Engineer to join our team and support our client.

The ideal candidate is a hands-on data professional with experience building scalable pipelines, integrating complex data sources, and supporting analytics in mission-focused environments. This individual will work across technical and stakeholder teams to design, develop, and maintain data solutions that improve reporting, operational insight, and decision support.

Essential Duties and Responsibilities:
  • Design, build, maintain, and optimize data pipelines and workflows that support analytics, reporting, and mission delivery.
  • Develop and manage ingestion, transformation, validation, and integration processes for structured and unstructured data.
  • Partner with technical leads, analysts, and customer stakeholders to define data requirements and implement scalable solutions.
  • Support data architecture, data quality, and data lifecycle management activities across cloud and hybrid environments.
  • Build reusable components and engineering patterns that improve efficiency, reliability, and maintainability of data solutions.
  • Contribute to dashboarding, reporting, and analytic enablement by preparing data for downstream consumption.
  • Support DevSecOps and CI/CD practices for data engineering deliverables, including version control, testing, and deployment activities.

Work Experience and Job Skills:
  • Minimum of 4 years of experience in data engineering, software engineering, or a closely related field.
  • Strong experience with Python, SQL, and modern data integration and transformation techniques.
  • Experience building ETL/ELT pipelines and working with relational and non-relational data stores.
  • Familiarity with cloud-based data environments and orchestration tools is preferred.
  • Experience supporting federal, DoD, or Intelligence Community clients is preferred.
  • Understanding of data quality, governance, metadata, and secure handling of sensitive information.
  • Ability to troubleshoot data issues, improve performance, and work effectively in an agile delivery environment.
  • Experience supporting analytics, machine learning data preparation, or operational reporting use cases is a plus.

Education:
  • Bachelor's Degree is required. Preferred field of study in Computer Science, Information Technology, Information Systems, Data Science, Engineering, Mathematics, or related field of study.
  • MBA/Master's Degree in a relevant field of study preferred.

Certificates, Licenses and Registrations:
  • Relevant Cloud or Data Engineering certification is preferred.
  • Security+ or related certification is a plus based on program requirements.

Communication Skills:
  • Excellent verbal and written skills, ability to present proposals and performance data, comfortable interfacing all levels of organization.
  • Ability to write clear and concise creative content in a highly confidential manner.
  • Ability to communicate technical concepts, data issues, and implementation approaches clearly to both technical and non-technical stakeholders.

Clearance Requirements:
  • This position requires the candidates to be a U.S. Citizen.
  • Ability to obtain and maintain a Secret clearance is required; higher clearance may be required based on customer assignment.

Travel:
  • Hybrid role based in Herndon, VA, with occasional local travel for customer meetings, workshops, and program reviews.

Environmental Requirements:
  • Mainly a routine office environment.
  • May be required to lift up to ten (10) pounds.
  • Flexible in working extended hours.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

About Unissant

Unissant is a data analytics and business transformation services provider. The company offers services in data management, analytics, cybersecurity, digital transformation, and artificial intelligence. Unissant serves clients in the healthcare, finance, and government sectors. The company was founded in 2006 and is headquartered in Reston, Virginia.
Learn more about Unissant
Size
500 employees
Industry
Net Income
$1 million
Founded
2006
5 Year Trend
+20%
Revenue
$20 million

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