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Emr Developer Jobs in California (NOW HIRING)

Punch Agency

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

... EMR, EC2, RDS) Job Type: Full-time Required education: * Bachelor's Required experience ... All of our core engineers are paid in the $150,000 range or greater and we also provide our ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud ...

Punch Agency

Data Engineer

San Francisco, CA

$134K - $162K/yr

... EMR, EC2, RDS) Job Type: Full-time Required education: * Bachelor's Required experience ... All of our core engineers are paid in the $150,000 range or greater and we also provide our ...

Cypress HCM

Data Engineer

Mountain View, CA

$70 - $95/hr

AWS EMR, Iceberg, Spark, Kafka, & YARN * Machine Learning: PyTorch, TensorFlow, Spark ML * REST API: Flask, FastAPI, or Django * Data Quality tools such as Monte Carlo, Great Expectations, or ...

Bazze

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... EMR, Lambda, API Gateway • Strong familiarity with map/reduce programming models • Experience working remotely and asynchronously (Slack, Google Drive, Trello) • Deep understanding of all ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3). * Strong problem-solving and analytical skills. * Knowledge of Dataiku is needed * Graduate/Post-Graduate ...

Info Way Solutions

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

... EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data solutions. • ... services and data engineering methodologies, applying new insights to enhance our data ...

New

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

At least 5 years' experience using SQL, R or python programming against large relational databases ... EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD ...

NimbleRx

Senior Data Engineer

Redwood City, CA · On-site

$129K - $176K/yr

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ... Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions ...

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Showing results 41-60

All JobsEmr Developer JobsEmr Developer Jobs in California

Emr Developer information

See California salary details

$22.5K

$86.3K

$157.2K

How much do emr developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for emr developer in California is $86,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,554.00 and $117,507.00 per year, depending on experience, location, and employer.

What is the difference between Emr Developer vs Data Analyst?

AspectEmr DeveloperData Analyst
Required SkillsSQL, scripting, ETL, cloud platformsData visualization, statistical analysis, SQL
Work EnvironmentHealthcare IT, cloud environmentsBusiness intelligence, finance, marketing
CertificationsEMR-specific certifications, cloud certificationsNone specific, often BI or analytics certifications

Emr Developers focus on building and maintaining electronic medical record systems, often working within healthcare IT and cloud environments. Data Analysts interpret data to support business decisions, working across various industries. While both roles require SQL and data handling skills, Emr Developers emphasize EMR systems and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What is an EMR Developer?

An EMR Developer is a software professional who specializes in designing, developing, and maintaining Electronic Medical Record (EMR) systems used in healthcare settings. They work to ensure that these systems are secure, user-friendly, and compliant with health regulations such as HIPAA. EMR Developers often collaborate with healthcare providers to customize workflows, integrate third-party applications, and maintain data accuracy and security. Their role is crucial in helping healthcare organizations streamline patient data management and improve care delivery.

What are some common challenges EMR developers face when integrating third-party systems with electronic medical record platforms?

EMR Developers often encounter challenges when integrating third-party systems, such as ensuring data interoperability, maintaining compliance with healthcare regulations like HIPAA, and dealing with varying standards across platforms (e.g., HL7, FHIR). Additionally, balancing legacy system compatibility with new technologies can be complex. Successful integration requires strong collaboration with clinical, compliance, and IT teams to ensure a seamless and secure data flow that supports healthcare operations.

What are the key skills and qualifications needed to thrive as an EMR developer?

To thrive as an EMR Developer, you need strong programming skills (such as Java, C#, or Python), knowledge of healthcare standards like HL7 or FHIR, and a background in software engineering or computer science. Familiarity with electronic medical record (EMR) systems, database management, and tools like Epic, Cerner, or Meditech is typically required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and effective communication with clinical staff and IT teams are essential soft skills. These skills ensure the development of secure, compliant, and user-friendly EMR solutions that support clinical workflows and patient care.
What are popular job titles related to Emr Developer jobs in California? For Emr Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Emr Developer jobs in California look for? The top searched job categories for Emr Developer jobs in California are:
What cities in California are hiring for Emr Developer jobs? Cities in California with the most Emr Developer job openings:
Emr Developer jobs near you
Infographic showing various Emr Developer job openings in California as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 74% Full Time, 14% Part Time, 2% Temporary, and 7% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $86,264 per year, or $41.5 per hour.

Data Analytics Engineer

ExlService Holdings, Inc.

San Francisco, CA • On-site

$140K - $155K/yr

Full-time

Posted 5 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

132nd of 485 rated business services

Job description


We are seeking an experienced Data Analytics Engineer to design, build, and optimize scalable data pipelines and analytics infrastructure that power critical financial products and decisions. You will work at the intersection of software engineering and data analytics - building reliable ETL/ELT pipelines, orchestrating cloud-native workflows, and enabling trusted, high-quality data for reporting, risk, and product teams. This role requires strong engineering discipline (version control, CI/CD, infrastructure-as-code) combined with deep SQL and PySpark expertise, ideally within a regulated banking or financial services environment.
Responsibilities
  • Design, build, and maintain scalable, reliable ETL/ELT data pipelines across cloud and on-prem sources, ensuring data quality, lineage, and auditability.
  • Develop and optimize Python/ PySpark and SQL-based data transformations for large-scale, high-volume financial datasets.
  • Architect and manage data pipeline orchestration (e.g., Airflow, Databricks Workflows, Step Functions) to automate ingestion, transformation, and delivery.
  • Build and maintain CI/CD pipelines using GitHub/GitHub Actions to support automated testing, deployment, and version-controlled infrastructure changes.
  • Develop cloud-based solutions on AWS (S3, Glue, EMR, Redshift, Lambda, IAM) supporting analytics, reporting, and downstream ML use cases.
  • Deploy and manage infrastructure and pipelines as code, following best practices for environment promotion, rollback, and monitoring.
  • Monitor, troubleshoot, and optimize pipeline performance, query efficiency, and cost across the data stack.
  • Partner with data scientists, analysts, product, and risk/compliance teams to translate business requirements into robust data solutions.
  • Enforce data governance, security, and regulatory compliance standards appropriate for financial data (PII, SOX, PCI, etc.).
  • Document pipeline architecture, data models, and processes; contribute to engineering standards and code review practices.

Qualifications
  • Required Technical Skills
  • Advanced proficiency in Python for scripting, automation, and data engineering workflows.
  • Strong hands-on experience with PySpark for distributed data processing at scale.
  • Expert-level SQL and Advanced SQL (window functions, query optimization, complex joins, performance tuning).
  • Solid experience with AWS cloud services and cloud-based application/data development (S3, Glue, EMR, Redshift, Lambda, IAM, CloudWatch).
  • Proven expertise building and orchestrating data pipelines (Airflow, Databricks Workflows, Step Functions, or equivalent).
  • Hands-on CI/CD experience using GitHub / GitHub Actions for automated build, test, and deployment.
  • Deep understanding of ETL/ELT design patterns, data modeling, and data warehousing concepts.
  • Experience deploying infrastructure and pipelines via code (e.g. version-controlled deployments).
  • Demonstrated ability to optimize pipeline performance, query execution, and cloud resource/cost efficiency.
    Preferred / Desired Skills (Nice to Have)
  • Hands-on experience with Databricks (Delta Lake, Unity Catalog, notebooks, cluster optimization).
  • Familiarity with Terraform or CloudFormation for infrastructure as code.
  • Experience with streaming data technologies (Kafka, Kinesis, Spark Structured Streaming).
  • Exposure to data quality/testing frameworks (Great Expectations, Dbt tests).
  • Knowledge of Dbt for transformation and analytics engineering workflows.
  • Understanding of financial data domains - payments, lending, risk, fraud, or accounting data.
  • Relevant certifications (AWS Certified Data Analytics/Solutions Architect, Databricks Certified Data Engineer).
    Qualifications
  • Bachelor's degree in computer science, Engineering, Data Science, or a related field (or equivalent practical experience).
  • 5+ years of experience in data engineering, analytics engineering, or a related technical role.
  • Prior experience working within banking, fintech, or financial services, with awareness of regulatory and data-security requirements.
  • Demonstrated track record delivering production-grade data pipelines in a cloud environment.
  • Soft Skills
  • Strong analytical and problem-solving skills with attention to detail and data accuracy.
  • Excellent communication skills; able to translate technical concepts for non-technical stakeholders.
  • Collaborative mindset with experience working cross-functionally with analysts, engineers, and business teams.
  • Self-directed and comfortable owning projects end-to-end in a fast-paced, regulated environment.
    Strong ownership mentality around data quality, reliability, and documentation.
    Base Compensation Range: $140,000- $155,000
    The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
About the Team
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.

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