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Data Analytics Engineer

Data Analytics Engineer

TalentRemedyDC, DC, us
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Description

About Our Client :

Our client delivers secure, innovative, and mission-driven technology solutions to the U.S. Government. Their teams thrive in high-security environments, tackling complex challenges with creativity, collaboration, and precision. They are seeking a  Data Analytics Engineer in Washington, DC  to join their team!

Key Responsibilities :

Write and optimize SQL queries to support data extraction, transformation, and reporting needs.

Develop scripts and analytical solutions using programming languages such as Python or R.

Design, implement, and maintain ETL / ELT processes and scalable data pipelines.

Leverage cloud-based analytics platforms (AWS Redshift, Google BigQuery, Azure Synapse) to deliver enterprise data solutions.

Build and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker.

Apply statistical analysis and foundational machine learning techniques to generate insights.

Optimize data workflows to improve system performance and reduce costs.

Collaborate with business and technical stakeholders to define requirements, communicate results, and support decision-making.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a related field.
  • 5-7 years of professional experience in data analytics, data engineering, or related roles.
  • Experience in designing, developing, and maintaining analytics pipelines and solutions on scale.

Certification Expectations

  • Certified Analytics Professional (CAP)
  • Google Professional Data Engineer Certificate
  • Databricks Certified Data Engineer Associate
  • Microsoft Certified : Azure Data Engineer Associate Cloud platform certifications (AWS, Azure) with focus on data analytics solutions.
  • Benefits

    Why Join Our Client's Team?

    Opportunity to work on mission-critical projects in a secure, collaborative environment.

    Long-term stability with a 5-year federal contract.

    Professional growth supported by certification pathways and exposure to cutting-edge cloud and data technologies.

    Benefits

    (Our client's industry-leading benefits package contributes to approximately 30% of your total compensation package!) :

  • Paid time off will initially be accrued at a rate of 6.33 hours per semi-monthly pay period, for a total of 19 days / 152 hours annually for the first two years.
  • 12 paid holidays that can be used as floating holidays throughout the year (11 Federal holidays plus one birthday holiday)
  • Compensatory Time and Flex Time if authorized
  • 100% covered Health insurance premium or $5,000 prorated annual stipend if opted out of the health insurance
  • 100% covered Dental insurance premium
  • 100% covered Vision insurance premium
  • 100% covered Short Term Disability
  • 100% covered Long Term Disability
  • Life Insurance (currently double your salary, up to $300K)
  • Match up-to 100% of 10% of the corporate provided 401K
  • $500 Business Attire Stipend (will be added to annual salary)
  • $500 Fitness Reimbursement
  • $1,500 Technology Reimbursement
  • $1,500 Professional Development & Certification Reimbursement
  • $5,000 Adoption Assistance
  • Referral bonuses - $1,000 after 30 days for each employee referral that meets the qualifications and gets hired, and $2,000 after 6 months for each employee referred that is retained for more than 6 months (Unlimited)
  • Maternity and Paternity Leave
  • Work laptop and company-provided mobile phone if telework is expected and work required software through-out the lifecycle of the laptop
  • Up to half of the company's profit rate (~2-3.5%) or a bonus for any new business you bring in and oversee
  • Company Morale Events
  • EEO Commitment

    Our client is an equal employment opportunity / affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

    Requirements

    Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a related field. 5-7 years of professional experience in data analytics, data engineering, or related roles. Experience in designing, developing, and maintaining analytics pipelines and solutions on scale. Certification Expectations Certified Analytics Professional (CAP) Google Professional Data Engineer Certificate Databricks Certified Data Engineer Associate Microsoft Certified : Azure Data Engineer Associate Cloud platform certifications (AWS, Azure) with focus on data analytics solutions.

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