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Data Engineer

Analytica

United States

Remote

USD 120,000 - 130,000

Full time

3 days ago
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Job summary

Analytica is looking for a mid-senior level Data Engineer to support a complex data program for the Defense Health Agency. This remote role involves designing and building data pipelines, ensuring data quality, and collaboration with various stakeholders to optimize the Military Health System's data capabilities.

Benefits

Medical insurance
Vision insurance
401(k) plan
Paid maternity leave

Qualifications

  • 3+ years creating data pipelines using cloud based ETL tools.
  • 2+ years experience with Python and SQL.
  • Experience with relational NoSQL and SQL databases.

Responsibilities

  • Support the Military Health System (MHS) by enhancing data use.
  • Design and build robust and scalable data pipelines.
  • Monitor and troubleshoot data import and display errors.

Skills

Data interoperability
Data governance
Data security principles
Cloud based ETL
Python
SQL

Education

Bachelor’s degree in information technology or Computer Science

Tools

AWS Glue
Oracle
PostgreSQL
Amazon Redshift
AWS Vertica

Job description

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This range is provided by Analytica. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

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Analytica is seeking a Data Engineer to support a complex data program for the Defense Health Agency. This role will work closely with reporting and analytics developers, data governance and data architects to build robust, high quality data pipelines that enhance productivity and operational efficiency. This position is for US Citizens only and candidate will hold (or be able to hold) a US Secret Clearance. The position is a remote position with occasional onsite meetings in at San Antonio, TX as required.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Responsibilities:

  • Support the Military Health System (MHS) by supporting data engineering that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset
  • Ensure data interoperability, governance, and quality to support enterprise-wide decision-making and healthcare optimization play a critical role in designing and implementing data architecture frameworks that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset.
  • Design and build robust and scalable data pipelines for managing structured and unstructured data using traditional databases (Oracle, PostgreSQL, etc.) or cloud Databases such as Amazon Redshift or AWS Vertica
  • Translate business needs into:
  • data architecture solutions development within supported data systems.
  • data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems.
  • Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams
  • Monitor and troubleshoot data import, analysis, and display errors.

Required Qualifications:

  • Bachelor’s degree in information technology, Computer Science, Engineering or equivalent technical field
  • 3+ years creating data pipelines using cloud based ETL tools, like AWS Glue (AWS preferred)
  • 2+ years experience with Python and SQL (Java and Python preferred)
  • Experience working on relational NoSQL and SQL databases
  • Experience designing and implementing various data pipeline patterns and strategies
  • Strong knowledge of data security principles
  • Prior experience with DHA M2 or MDR databases, CERNER EHR a strong plus
  • Must be a US Citizen and must possess or be eligible for a SECRET clearance

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD., the company is an established 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans.

We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

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