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Emr Engineer Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... EMR, Kinesis, and SQS for efficient data handling and processing. * Develop and optimize data ...

Baylor Genetics

Epic Implementation Manager

Houston, TX · On-site

... EMR) capabilities across the organization's platforms and products. This role will serve as the ... Collaborate with engineering and integration teams to design, configure, and deploy Epic Aura ...

Actalent

Ophthalmic Scribe

Houston, TX · On-site

$20/hr

Document physician visits in the EMR system accurately. * Assist with scribing duties during ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Actalent

Scribe

Conroe, TX

$17.50 - $18.50/hr

Document physician visits accurately in the EMR system during patient encounters. * Adapt to ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

New

YO AI Labs

Snowflake Data Architect

Houston, TX · On-site

$130 - $180/hr

Working knowledge of AWS services such as S3, Glue, Lambda, Athena, EMR, Redshift, and cloud-based ... Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.

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All JobsEmr Engineer JobsEmr Engineer Jobs in Spring, TX

Emr Engineer information

See Spring, TX salary details

$33.8K

$103.1K

$170.4K

How much do emr engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for emr engineer in Spring, TX is $103,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What is an EMR engineer?

EMR Engineers are professionals who specialize in the development, implementation, and maintenance of Electronic Medical Records (EMR) systems in healthcare settings. They work to ensure that EMR software runs smoothly, integrates with other healthcare technologies, and complies with regulatory standards. EMR Engineers may also train staff, troubleshoot issues, and help optimize workflows to improve patient care and data security. Their role is essential in supporting healthcare providers' transition to digital records and in maintaining the integrity and accessibility of patient information.

What are some of the typical challenges an EMR engineer faces when implementing new electronic medical record systems in healthcare settings?

EMR Engineers often encounter challenges such as integrating new electronic medical record (EMR) systems with existing healthcare infrastructure, ensuring data migration accuracy, and providing adequate user training for medical staff. They must also address strict regulatory requirements for patient data privacy and security. Effective collaboration with clinicians, IT teams, and administrators is essential to adapt workflows and troubleshoot issues that arise during and after system implementation.

What are the key skills and qualifications needed to thrive as an EMR engineer, and why are they important?

To thrive as an EMR Engineer, you need a solid background in computer science, healthcare IT, and experience with Electronic Medical Record (EMR) systems, often supported by a bachelor’s degree in a related field. Familiarity with EMR platforms like Epic or Cerner, knowledge of HL7/FHIR standards, and certifications such as Epic Certified or Health IT certifications are highly valued. Strong problem-solving, communication, and project management skills help EMR Engineers collaborate with clinicians and IT staff to implement and optimize systems. These skills are crucial for ensuring EMR systems run efficiently, securely, and compliantly to support patient care and organizational goals.

What job categories do people searching Emr Engineer jobs in Spring, TX look for?

The top searched job categories for Emr Engineer jobs in Spring, TX are:

Emr Engineer jobs near you
Infographic showing various Emr Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,107 per year, or $49.6 per hour.

Principal Data Engineer

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 29 days ago

Job description

NAVA Software solutions is looking for a Principal Data Engineer
Details:
Principal Data Engineer
Location: Houston, TX - 4 days/week onsite
Duration: Full time / Direct Hire
The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and managing robust, scalable data platforms. This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. You will guide other team members and collaborate closely with cross-functional teams to design and implement modern data solutions that enable data-driven decision-making across the organization.
As a Principal Data Engineer you will:
  • Collaborate with Business, and IT functional experts to gather requirements or issues, perform gap analysis and recommend/implement process and/or technology improvements to optimize data solutions.
  • Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science and analytical needs of the organization.
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Databricks, Apache Spark, Kafka, Flink, AWS Glue or other AWS services.
  • Work within cloud environments like AWS to leverage services including but not limited to EC2, RDS, S3, Athena, Glue, Lambda, EMR, Kinesis, and SQS for efficient data handling and processing.
  • Develop and optimize data models and storage solutions (SQL, NoSQL, Key-Value DBs, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Implement pipelines with a high degree of automation for data workflows and deployment pipelines using tools like Apache Airflow, Terraform, and CI/CD frameworks.
  • Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models, leveraging Python, scala or R for data processing scripts.
  • Ensure compliance with data governance, compliance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Establish best practices for code documentation, testing, and version control, ensuring consistent and reproductive data engineering practices across the team.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high performance and scalability.
  • Cross functional work understanding data landscape, developing proof of concepts, and demonstrating to stakeholders.
  • Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Proven experience designing scalable, fault-tolerant data architecture and pipelines on Databricks delta lake, lakehouse, unity catalog, streaming, AWS, ETL/ELT development and data modeling, with a focus on performance optimization and maintainability Required
  • Deep experience of platforms and services like Databricks, and AWS native data offerings Required
  • Solid experience with big data technologies (Databricks, Apache Spark, Kafka) and AWS cloud services related to data processing and storage Required
  • Strong hands-on experience with ETL/ELT pipeline development using AWS tools and Databricks Workflows Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required
  • Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored procedures) Required
  • Good understanding of system architecture and design patterns to design and develop applications using these principles Required
  • Proficiency with version control systems like Git and experience with CI/CD pipelines for automating data engineering deployments Required
  • Familiarity with machine learning model deployment and management practices is a plus Preferred
  • Experience with SAP, BW, HANA, Tableau, or Power BI is a plus Preferred
  • Experience with auto, manufacturing, or supply chain industries is a plus Preferred
  • Project life-cycle leadership and support for requirement workshop, design, development, test cycles and production cutover, post-go live support, and environment strategy. Strong knowledge of agile methodologies Required
  • Strong communication skills, capable of collaborating effectively across technical and non-technical teams in a fast-paced environment. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred or other relevant certifications. Preferred
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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