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Emr Developer Jobs in Chicago, IL (NOW HIRING)

Ovative group

Engineering Manager

Chicago, IL

Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying ... Ensure the team follows SDLC and DevOps best practices, maintaining strong standards for delivery ...

KPMG

Director, Salesforce AI Specialist

Chicago, IL

$57.25 - $75.75/hr

... EMR integrations preferred) * Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming), and experience with Version Control (Git), CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.

Jorie AI

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

Experience integrating with third-party healthcare software (EHR/EMR systems, billing software, etc ... Understand the importance of DevOps and CI/CD. Python is an important tool for DevOps, streamlining ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... S3, EMR, etc) a plus * Able to communicate effectivelywith both technical and non-technical teams

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Experience integrating with third-party healthcare software (EHR/EMR systems, billing software, etc ... Understand the importance of DevOps and CI/CD. Python is an important tool for DevOps, streamlining ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Experience integrating with third-party healthcare software (EHR/EMR systems, billing software, etc ... Understand the importance of DevOps and CI/CD. Python is an important tool for DevOps, streamlining ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and ... Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and ...

Ovative group

Data & Software Engineer

Chicago, IL

$118K - $141K/yr

Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying ... Adhere to SDLC and DevOps best practices,maintaininghigh standardsof quality and security across ...

Ovative group

Lead AI Engineer

Chicago, IL

$105K - $139K/yr

Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying ... developer tooling Preferred * Experience working with Claude Enterprise or the Anthropic API

Cccis

Data Science Engineer Internship

Chicago, IL

$20 - $43/hr

You'll join the Data Engineering team that builds the data and AI foundation for the company: the ... AWS (S3, EMR, Glue, Athena, Lambda) * Python and SQL * Apache Airflow * Data governance and data ...

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Showing results 41-60

All JobsEmr Developer JobsEmr Developer Jobs in Chicago, IL

Emr Developer information

See Chicago, IL salary details

$23.6K

$90.4K

$164.7K

How much do emr developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for emr developer in Chicago, IL is $90,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,702.00 and $123,170.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Emr Developer jobs in Chicago, IL?

For Emr Developer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Emr Developer jobs in Chicago, IL look for?

The top searched job categories for Emr Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Emr Developer jobs?

Cities near Chicago, IL with the most Emr Developer job openings:

Emr Developer jobs near you

Senior Workflow Orchestration Engineer (Airflow & Scheduling Platforms)

Benton Partners

Chicago, IL • On-site

$140 - $210/hr

Other

Posted yesterday

New

Job description

Senior Workflow Orchestration Engineer (Airflow & Scheduling Platforms)
  • NY or Chi, NYC
About therole

We'reseeking a seasoned engineer to design,operate, and scale our workflow orchestration platform with a primary focus on Apache Airflow.You'llown the Airflow control plane and developer experience end-to-end-architecture, automation, security, observability, and reliability-while also evaluating andoperatingcomplementary schedulers whereappropriate.You'llbuild automation infrastructure and partner across data, trading, and engineering teams to deliver mission-critical pipelines at scale.

Whatyou'lldo
  • Architect, deploy, andoperateproduction-grade Airflow on Kubernetes including all components and user application dependencies, with focus on upgrades, capacity planning, HA, security, and performance tuning
  • Operate a multi-scheduler ecosystem:determinewhen to use Airflow, distributed compute schedulers, or lightweight task runners based on workload requirements; provide unified developer experience across schedulers
  • Build automation infrastructure: Terraform modules and Helm charts withGitOps-driven CI/CD for environment provisioning, upgrades, and zero-downtime rollouts
  • Standardize the developer experience: DAG repo templates, shared operator libraries, connection and secrets management, dependency packaging, code ownership, linting, unit testing, and pre-commit hooks
  • Implement comprehensive observability: metrics collection, dashboards, distributed tracing, SLA/latency monitoring, intelligent alerting, and runbook automation
  • Enable resilient workflow patterns: build idempotency frameworks, retry/backoff strategies, deferrable operators and sensors, dynamic task mapping, and data-aware scheduling
  • Ensure reliability at enterprise scale: architect and tune resource allocation (pools, queues, concurrency limits) to support high-throughput workloads-optimizelarge-scale backfill strategies; develop comprehensive runbooks and lead incident response/postmortems
  • Partner with teams across the organization to provide enablement, documentation, and self-service tooling
  • Mentor engineers, contribute to platform roadmap and technical standards, and drive engineering best practices
Required qualifications
  • 5-8+ years building/operating data or platform systems; 3+ years running Airflow in production at scale (hundreds-thousands DAGs and high task throughput).
  • Deep Airflowexpertise: DAG design and testing, idempotency, deferrable operators/sensors, dynamic task mapping, task groups, datasets, pools/queues, SLAs, retries/backfills, cross-DAG dependencies.
  • Strong Kubernetes experience running Airflow and supporting services: Helm, autoscaling, node/pod tuning, topology spread, network policies, PDBs, and blue/green or canary strategies.
  • Automation-first mindset: Terraform, Helm,GitOps(Argo CD/Flux), and CI/CD for platform lifecycle; policy-as-code (OPA/Gatekeeper/Conftest) for DAG, connection, andsecretschanges.
  • Proficiencyin Python for authoring operators/hooks/utilities; solid Bash; familiarity with Go or Java is a plus.
  • Observability and SRE practices: Prometheus/Grafana/StatsD, centralized logging, alert design, capacity/throughput modeling, performance tuning.
  • Data platform experience with at least one major cloud (AWS/Azure/GCP) and systems like Snowflake/BigQuery/Redshift, Databricks/Spark, EMR/Dataproc; strong grasp of IAM, VPC networking, and storage (S3/GCS/ADLS).
  • Security/compliance: SSO/OIDC, RBAC,secretsmanagement (Vault/Secrets Manager), auditing, least-privilege connection management, and change control.
  • Proven incident leadership, runbook creation, and platform roadmap execution; excellent cross-functional communication.
Nice to have
  • Experience operating alternative orchestrators (Prefect 2.x,Dagster, Argo Workflows, AWS Step Functions) and leading migrations to/from Airflow.
  • OpenLineage/Marquez adoption; Great Expectations or other data quality frameworks; data contracts.
  • Cost optimization and capacity planning for schedulers and workers; spot instance strategies.
  • Multi-region HA/DR for Airflow metadata DB; backup/restore and disaster drills.
  • Building internal developer platforms/portals (e.g., Backstage) for self-service pipelines.
  • Contributions to Apache Airflow or provider packages; familiarity with recent AIPs/Airflow 2.7+ features.
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