Ares Enterprise, LLC

Adaptability. Reliability. Excellence. Synergy

Data Engineer / Data Scientist

Data EngineerData EngineerFull TimeRemoteTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishETLOraclePostgre SQLService NowSQL

Job Description

• Support the design, discovery, and implementation of enterprise data platforms that enable advanced analytics and operational workflows. • Lead the development of a centralized data storefront and enterprise analytics ecosystem. • Integrate enterprise data into operational workflows. • Develop and maintain scalable data architectures, pipelines, and data integration frameworks. • Integrate multiple structured and unstructured data sources from enterprise systems, operational databases, and external platforms. • Ensure data architectures support data governance, lineage, quality monitoring, and enterprise data management standards. • Lead technical discovery sessions with mission and business stakeholders to identify data sources, use cases, and operational requirements. • Develop analytics dashboards, operational insights, and data products supporting leadership decision-making. • Provide technical leadership in data architecture design and integration strategies.

Job Requirements

  • Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, or related technical discipline.
  • 5–10+ years of experience in data engineering, data science, enterprise analytics, or data platform development.
  • Strong experience with enterprise database technologies, including: SQL, PostgreSQL, Oracle, Snowflake or similar data platforms
  • Experience with Palantir Foundry, Army Vantage, or similar enterprise data analytics platforms.
  • Experience designing and implementing: Data pipelines, ETL / ELT processes, Data integration architectures.
  • Demonstrated experience developing data storefronts, data catalogs, or enterprise data marketplaces.
  • Experience integrating enterprise data platforms with ServiceNow or other enterprise workflow platforms.
  • Strong experience leading technical discovery sessions and data architecture design engagements.
  • Ability to operate independently within complex or ambiguous technical environments.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

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