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Downstream Process Jobs in Connecticut (NOW HIRING)

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

$140 - $190/hr

... while minimizing downstream impact. * Collaborate directly with partner technical teams to ... Implement validation, reconciliation, duplicate detection, and error recovery processes. * Perform ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

... while minimizing downstream impact. * Collaborate directly with partner technical teams to ... Implement validation, reconciliation, duplicate detection, and error recovery processes. * Perform ...

Aerotek

Cnc Machinist

South Windsor, CT

$52K - $83K/yr

You will actively support continuous production flow by monitoring machining processes, identifying abnormalities, and preventing defects from moving downstream, while also contributing to the ...

Aerotek

CNC Machinist

South Windsor, CT

$52K - $83K/yr

You will actively support continuous production flow by monitoring machining processes, identifying abnormalities, and preventing defects from moving downstream, while also contributing to the ...

Tek Global

CPQ Project Manager

Old Saybrook, CT · On-site

$118K/yr

Oversee integration with Salesforce objects, workflows, APIs, and downstream systems. * Manage ... Drive continuous improvement of CPQ processes and sales operations.

New

Deloitte

Data Engineer II

Hartford, CT · On-site

$115K - $138K/yr

... downstream applications. * Design, build, and support scalable batch and near-real-time data ... processes including implementing leading practice workflows, addressing deficits in quality, and ...

ACI Infotech

MuleSoft Developer

CT · On-site

$50.75 - $67.25/hr

Ability to assess the impact of new requirements on ForgeRock.com and all upstream and downstream applications, systems and processes * Ability to design and implement new processes and facilitate ...

Deloitte

Data Engineer II

Stamford, CT · On-site

$122K - $146K/yr

... downstream applications. * Design, build, and support scalable batch and near-real-time data ... processes including implementing leading practice workflows, addressing deficits in quality, and ...

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All JobsDownstream Process JobsDownstream Process Jobs in Connecticut

Downstream Process information

See Connecticut salary details

$12

$23

$33

How much do downstream process jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for downstream process in Connecticut is $23.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.73 per hour, depending on experience, location, and employer.

What is a downstream process?

A Downstream Process refers to the series of steps involved in the purification and recovery of biological products, such as proteins, enzymes, or antibodies, after they have been produced by microorganisms or cells during fermentation or cell culture. It typically includes cell separation, product isolation, purification, and polishing to achieve the desired product quality and purity. Downstream processing is crucial for ensuring that biopharmaceutical products meet regulatory and safety standards before they reach the market.

What are the key skills and qualifications needed to thrive as a downstream process engineer?

To thrive as a Downstream Process Engineer, you need a solid background in chemical or biochemical engineering, knowledge of purification techniques, and typically a relevant degree. Familiarity with process control systems, chromatography, filtration technologies, and GMP compliance, as well as certifications like Six Sigma, are commonly required. Strong problem-solving, teamwork, and communication skills help you excel in cross-functional teams and address complex production challenges. These skills ensure efficient, high-quality product recovery and compliance with industry standards in biomanufacturing environments.

What are some common challenges faced by professionals working in downstream process roles?

Professionals in downstream process roles often encounter challenges such as optimizing purification steps to maximize yield and product purity while minimizing costs and processing time. They must also troubleshoot issues related to equipment performance, scalability, and regulatory compliance, especially when transitioning from lab-scale to large-scale production. Collaboration with upstream teams, quality assurance, and engineering is critical to address these challenges and ensure a smooth workflow. Staying current with technological advances and regulatory requirements also plays a significant role in day-to-day success.

What is the difference between Downstream Process vs Upstream Process?

AspectDownstream ProcessUpstream Process
PurposePurifies and isolates the target product from the mixtureProduces the initial product, such as cell culture or fermentation
ActivitiesFiltration, chromatography, centrifugation, purificationCell growth, fermentation, media preparation
Work EnvironmentLaboratories, bioprocessing facilitiesBioreactors, fermentation tanks, labs
Required SkillsBioprocessing techniques, chromatography, filtrationMicrobiology, cell culture, fermentation technology

Downstream Process focuses on purifying the product, while Upstream Process involves producing the raw material. Both are essential steps in biopharmaceutical manufacturing, often working sequentially to ensure high-quality product output.

What are popular job titles related to Downstream Process jobs in Connecticut?

For Downstream Process jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Downstream Process jobs in Connecticut look for?

The top searched job categories for Downstream Process jobs in Connecticut are:

What cities in Connecticut are hiring for Downstream Process jobs?

Cities in Connecticut with the most Downstream Process job openings:

Downstream Process jobs near you
Infographic showing various Downstream Process job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 15% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $48,819 per year, or $23.5 per hour.

Data Integration Lead

Oxbridge Health

Norwalk, CT • On-site

$140 - $190/hr

Other

Posted 29 days ago

Job description

Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.

Role Description The Healthcare Data Integration Lead is responsible for the end-to-end lifecycle of external healthcare data integrations at Oxbridge Health. This role owns the technical implementation and day-to-day operation of data exchanges with Third-Party Administrators (TPAs), provider networks, and other healthcare partners.

You will define and manage external data contracts, maintain partner-specific file and API specifications, translate external data into Oxbridge's canonical data model, and ensure timely, accurate, and reliable delivery of data to internal consumers including Engineering, Operations, Analytics, Clinical, and Machine Learning teams.

This is a hands-on technical leadership role combining software engineering, data integration, and partner collaboration, with a clear growth path toward leading the Data Integration function.

Responsibilities

  • Own technical integrations with TPAs, provider networks, and other external healthcare partners.
  • Own the ingestion, lifecycle, and governance of provider, network, and reference data used across the platform.
  • Define, maintain, and version partner integration specifications, including file layouts, APIs, schemas, and data contracts.
  • Lead onboarding of new partners and manage changes to existing integrations while minimizing downstream impact.
  • Collaborate directly with partner technical teams to troubleshoot and resolve production data exchange issues.
  • Ensure reliable, secure, and timely delivery of healthcare data across all integrations.
Canonical Data & Integration Engineering
  • Design and maintain mappings from partner-specific formats into Oxbridge's canonical data model.
  • Define reusable integration patterns for file-based, API-based, and event-driven data exchange.
  • Build and enhance ingestion services supporting validation, transformation, reconciliation, and processing workflows.
  • Maintain backward compatibility as partner formats and business requirements evolve.
  • Collaborate with Engineering teams to ensure internal consumers receive consistent, well-defined data.
Data Operations & Reliability
  • Operate and support production ingestion pipelines for external healthcare data.
  • Monitor integration health, data quality, and delivery SLAs.
  • Implement validation, reconciliation, duplicate detection, and error recovery processes.
  • Perform root cause analysis for production integration issues and coordinate resolution with internal teams and external partners.
  • Improve observability through monitoring, alerting, dashboards, and operational runbooks.
Data Quality & Governance
  • Establish standards for external data quality, validation, and canonical mapping.
  • Ensure incoming data is complete, accurate, and consistent before being consumed by downstream systems.
  • Partner with Operations, Analytics, Clinical, and Product teams to continuously improve data quality.
  • Ensure all integrations comply with HIPAA and applicable healthcare data regulations.
  • Deliver trusted, standardized datasets that enable Operations, Engineering, Analytics, and Machine Learning teams.
  • Serve as the primary technical point of contact for healthcare data integrations.
  • Partner with Engineering, Product, Operations, Analytics, and external organizations to define integration priorities and resolve complex data challenges.
  • Mentor engineers and promote best practices in integration engineering and operational excellence.
  • Contribute to hiring, process improvements, and the evolution of the Data Integration function.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5–7+ years of experience in healthcare integration engineering, backend engineering, data engineering, or similar roles.
  • Experience designing, implementing, and operating partner integrations using file-based (CSV, JSON, XML) and API-based data exchanges.
  • Strong experience with data ingestion, transformation (ETL/ELT), canonical data modeling, and validation frameworks to ensure accurate and reliable data exchange.
  • Experience operating production data pipelines with a focus on reliability, observability, and troubleshooting.
  • Experience defining integration contracts and collaborating directly with external partners.
  • Strong SQL and AWS experience (S3, Lambda, SQS, EventBridge, Glue).
  • Excellent communication and stakeholder management skills.
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