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LMI
3.9
Health Data Engineer - Mid
Tysons Corner, VA
$91K - $116K (Employer provided)
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Design, implement, and manage cloud-based data engineering……
4d
data engineer jobs in Tysons Corner, VA Tysons Corner, VA jobs LMI jobs in Tysons Corner, VA
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Protagona
4.8
Data Engineer - Egypt
United States
Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of……
30d+
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Protagona
4.8
Data Engineer
United States
$115K - $130K (Employer provided)
Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of……
30d+
data engineer jobs in United States Protagona jobs in United States
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Penn Medicine
3.8
Data Engineer- PennDnA- Quality (Mid level/Senior)
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$64K - $92K (Glassdoor est.)
Easy Apply
Provide technical leadership and mentorship to junior data engineers and associate data engineers, fostering a culture of continuous learning and innovation……
30d+
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Bath & Body Works
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3d
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EMC Insights
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Blue Origin
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Test Engineer - Fluids | New Glenn (Mid to Senior | D and 3rd Shift)
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Minimum of a Bachelor’s degree in mechanical, aerospace, civil engineering or related field. You will develop test methods, operate ground support equipment,……
30d+
Great River Technology
1.0
Principal Engineer - Airborne Hardware
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$130K - $200K (Employer provided)
Easy Apply
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30d+
Freeman Companies
3.8
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$110K (Employer provided)
Easy Apply
Must have a valid driver’s license and reliable transportation. Must be able to collect field data and measurements including but not limited to roadway,……
30d+
Americas Gold and Silver
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9d
Stanley Electric
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Curtiss-Wright
3.6
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LMI

3.9

Health Data Engineer - Mid

Tysons Corner, VA

$91K - $116K (Employer provided)

Is your resume a good match?

Use AI to find out how well the skills on your resume fit this job description.

Overview:

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities:

We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing, and optimizing data pipelines, ensuring the reliable acquisition, storage, transformation, and delivery of data for our health-focused applications and analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment.

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ensuring data integrity, accessibility, and security, ultimately facilitating valuable insights and better outcomes for patients, healthcare providers, and stakeholders.

This is an exceptional opportunity to use your technical and analytical skills to make an impact in the healthcare space, working with large datasets to drive innovative solutions that enhance patient care and healthcare processes.

Data Pipeline Development:
- Architect and build scalable, reliable, and secure data pipelines to gather, process, and store healthcare data from multiple sources.
- Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.
- Design, implement, and manage cloud-based data engineering solutions using cloud platforms.
Database Management & Optimization:
- Develop and maintain robust, scalable data storage solutions such as relational databases (SQL Server, PostgreSQL, MySQL) or NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Tune database performance, troubleshoot issues, and implement optimizations to handle large-scale data sets efficiently.
- Ensure data reliability and integrity through schema design, normalization, and validation processes.
Healthcare Data Integration & Analytics Support:
- Integrate data across healthcare applications and systems
- Prepare clean, well-organized datasets for downstream analytics and machine learning projects to improve patient outcomes and healthcare workflows.
- Collaborate with data analysts and product teams to provide data solutions that support reporting, dashboards, and decision-making tools.
Security, Compliance & Monitoring:
- Implement security measures to protect sensitive healthcare data and ensure compliance with healthcare regulations (e.g., HIPAA).
- Monitor data pipelines and infrastructure, addressing bottlenecks or failures to ensure system uptime and data accessibility.
- Proactively identify and address security vulnerabilities or inconsistencies in data systems.
Collaboration and Documentation:
- Work closely with developers, DevOps engineers, product managers, and healthcare specialists to understand requirements, share insights, and align on project goals.
- Document data models, pipelines, API integrations, and best practices for reference and knowledge sharing.
- Contribute to the overall technical strategy for optimizing health data processing and usage.

Qualifications:

MINIMUM QUALIFICATIONS

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Minimum of 5 years of professional experience as a Data Engineer, Data Analyst, or a similar role, preferably with exposure to healthcare data projects or financial/banking systems.
- Proficiency with structured and unstructured data querying tools (SQL, PostgreSQL, or NoSQL databases like MongoDB).
- Strong knowledge of ETL/ELT processes, data warehousing, and analytics frameworks (e.g., Snowflake, Redshift, BigQuery, Databricks, or Apache Spark).
- Hands-on experience with data pipeline tools such as Apache Airflow, Talend, NiFi, or similar platforms.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including tools for data processing (e.g., AWS Glue, S3, Athena).
- Expertise in programming/scripting languages like Python, PySpark, Java, or Scala for data manipulation and automation tasks.
- Knowledge of containerization tools, including Docker and Kubernetes, for data system deployment.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and an understanding of analytics concepts.
- Understanding of healthcare data security and compliance requirements (e.g., HIPAA).
- Experience with encryption, data masking, and access controls to protect sensitive health information.
Strong analytical and problem-solving capabilities, with the ability to work with large-scale datasets and maintain their integrity.
Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Ability to work in a fast-paced healthcare setting and adapt to evolving project requirements.
Strong attention to detail, organization, and commitment to quality.

PREFERRED QUALIFICATIONS

Familiarity with healthcare compliance requirements such as HIPAA or GDPR.
Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Linux Foundation Certified Kubernetes Administrator.

Experience in federal consulting.
Demonstrated experience with health projects, including those involving Medicare and health data.

Target salary range: $90,620 - $115,754

Disclaimer:

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Job Locations: US-VA-Tysons

See company reviews

Base pay range

The minimum salary is $91K and the max salary is $116K.

$91K – $116K/yr (Employer provided)

$103K

/yr Median

Tysons Corner, VA

If an employer includes a salary or salary range on their job, we display it as "Employer Provided". If a job has no salary data, Glassdoor displays a "Glassdoor Estimate" if available. To learn more about "Glassdoor Estimates," see our FAQ page.

Working here doesn’t have to be a secret

3.9

Recommend to a friend
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CEO: Josh Wilson
13 Ratings

LMI

3.9

Health Data Engineer - Mid

Tysons Corner, VA

$91K - $116K (Employer provided)

LMI

3.9

Health Data Engineer - Mid

Tysons Corner, VA

$91K - $116K (Employer provided)

Is your resume a good match?

Use AI to find out how well the skills on your resume fit this job description.

Overview:

Responsibilities:

Data Pipeline Development:
- Architect and build scalable, reliable, and secure data pipelines to gather, process, and store healthcare data from multiple sources.
- Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.
- Design, implement, and manage cloud-based data engineering solutions using cloud platforms.
Database Management & Optimization:
- Develop and maintain robust, scalable data storage solutions such as relational databases (SQL Server, PostgreSQL, MySQL) or NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Tune database performance, troubleshoot issues, and implement optimizations to handle large-scale data sets efficiently.
- Ensure data reliability and integrity through schema design, normalization, and validation processes.
Healthcare Data Integration & Analytics Support:
- Integrate data across healthcare applications and systems
- Prepare clean, well-organized datasets for downstream analytics and machine learning projects to improve patient outcomes and healthcare workflows.
- Collaborate with data analysts and product teams to provide data solutions that support reporting, dashboards, and decision-making tools.
Security, Compliance & Monitoring:
- Implement security measures to protect sensitive healthcare data and ensure compliance with healthcare regulations (e.g., HIPAA).
- Monitor data pipelines and infrastructure, addressing bottlenecks or failures to ensure system uptime and data accessibility.
- Proactively identify and address security vulnerabilities or inconsistencies in data systems.
Collaboration and Documentation:
- Work closely with developers, DevOps engineers, product managers, and healthcare specialists to understand requirements, share insights, and align on project goals.
- Document data models, pipelines, API integrations, and best practices for reference and knowledge sharing.
- Contribute to the overall technical strategy for optimizing health data processing and usage.

Qualifications:

MINIMUM QUALIFICATIONS

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Minimum of 5 years of professional experience as a Data Engineer, Data Analyst, or a similar role, preferably with exposure to healthcare data projects or financial/banking systems.
- Proficiency with structured and unstructured data querying tools (SQL, PostgreSQL, or NoSQL databases like MongoDB).
- Strong knowledge of ETL/ELT processes, data warehousing, and analytics frameworks (e.g., Snowflake, Redshift, BigQuery, Databricks, or Apache Spark).
- Hands-on experience with data pipeline tools such as Apache Airflow, Talend, NiFi, or similar platforms.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including tools for data processing (e.g., AWS Glue, S3, Athena).
- Expertise in programming/scripting languages like Python, PySpark, Java, or Scala for data manipulation and automation tasks.
- Knowledge of containerization tools, including Docker and Kubernetes, for data system deployment.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and an understanding of analytics concepts.
- Understanding of healthcare data security and compliance requirements (e.g., HIPAA).
- Experience with encryption, data masking, and access controls to protect sensitive health information.
Strong analytical and problem-solving capabilities, with the ability to work with large-scale datasets and maintain their integrity.
Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Ability to work in a fast-paced healthcare setting and adapt to evolving project requirements.
Strong attention to detail, organization, and commitment to quality.

PREFERRED QUALIFICATIONS

Familiarity with healthcare compliance requirements such as HIPAA or GDPR.
Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Linux Foundation Certified Kubernetes Administrator.

Experience in federal consulting.
Demonstrated experience with health projects, including those involving Medicare and health data.

Target salary range: $90,620 - $115,754

Disclaimer:

#LI-SH1

Job Locations: US-VA-Tysons

See company reviews

Base pay range

The minimum salary is $91K and the max salary is $116K.

$91K – $116K/yr (Employer provided)

$103K

/yr Median

Tysons Corner, VA

Working here doesn’t have to be a secret

3.9

Recommend to a friend
Approve of CEO
CEO: Josh Wilson
13 Ratings

9,112 Mid data engineer i jobs in United States

Base pay range

Working here doesn’t have to be a secret

Base pay range

Working here doesn’t have to be a secret