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Lims Developer Jobs in Colorado (NOW HIRING)

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS ... Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks ...

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS ... Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks ...

Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS ... Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks ...

Work with Control System Engineers, laboratory staff, and Quality Engineers to ensure data accuracy and availability in control systems and LIMS, and to support data-based decision making.Perform ...

Work with Control System Engineers, laboratory staff, and Quality Engineers to ensure data accuracy and availability in control systems and LIMS, and to support data-based decision making. * Perform ...

Work with Control System Engineers, laboratory staff, and Quality Engineers to ensure data accuracy and availability in control systems and LIMS, and to support data-based decision making. * Perform ...

Work with Control System Engineers, laboratory staff, and Quality Engineers to ensure data accuracy and availability in control systems and LIMS, and to support data-based decision making. * Perform ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS ... Coach plant engineers, analysts, and business users on data definitions, data quality, workflows ...

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS ... Coach plant engineers, analysts, and business users on data definitions, data quality, workflows ...

Senior Software Engineer

Loveland, CO · On-site

$125K - $166K/yr

... DevOps, manufacturing tools, and support of customer-facing software. This is an exciting ... Experience with connectivity to laboratory information management system (LIMS) or Electronic ...

Experience testing LIMS, LIS, or other laboratory software systems * Knowledge of software ... Experience working cross-functionally with engineering, bioinformatics, and quality teams

Experience testing LIMS, LIS, or other laboratory software systems * Knowledge of software ... Experience working cross-functionally with engineering, bioinformatics, and quality teams

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

... LIMS, JIRA, etc) * Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available ...

Join a growing team with this exciting new opportunity for a Principal Automation Engineer in our ... Exposure to CSV/MES/DCS/PCS/SCADA/PLC/LIMS/EBR/QMS/PDH * Tools: Agile PLM, MS Project/Smartsheet ...

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Lims Developer information

See Colorado salary details

$17

$55

$85

How much do lims developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for lims developer in Colorado is $55.56, according to ZipRecruiter salary data. Most workers in this role earn between $42.45 and $67.98 per hour, depending on experience, location, and employer.

What is a Lims developer?

A LIMS (Laboratory Information Management System) Developer is responsible for designing, developing, and maintaining software solutions that support laboratory workflows. They customize and integrate LIMS platforms to streamline data management, improve efficiency, and ensure compliance with industry regulations. This role requires programming skills, database knowledge, and an understanding of laboratory processes. LIMS Developers often collaborate with scientists, IT teams, and quality assurance professionals to optimize system functionality.

What does a Lims developer do?

A typical workday for a Lims Developer involves analyzing laboratory workflow requirements, designing and configuring LIMS solutions, and developing or customizing modules to meet specific user needs. You may spend time troubleshooting system issues, collaborating with scientists or lab staff to gather feedback, and deploying software updates or integrations with laboratory instruments. Regular meetings with project managers or stakeholders are common, ensuring alignment with broader organizational goals. The role often requires balancing technical problem-solving with effective communication to deliver practical, user-friendly solutions for laboratory environments.

What skills and qualifications are needed to be a Lims developer?

To thrive as a Lims Developer, you need strong programming skills, knowledge of laboratory workflows, and experience with Laboratory Information Management Systems (LIMS), often supported by a degree in computer science or a related field. Familiarity with database management systems, scripting languages (such as Python or Java), and certifications in relevant platforms like STARLIMS or LabWare are valuable assets. Attention to detail, strong problem-solving ability, and effective communication help Lims Developers excel when working with lab personnel and IT teams. These skills and qualities are essential for ensuring accurate, efficient data management and seamless integration of laboratory processes within the organization.

What are popular job titles related to Lims Developer jobs in Colorado?

For Lims Developer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Lims Developer jobs in Colorado look for?

The top searched job categories for Lims Developer jobs in Colorado are:

Infographic showing various Lims Developer job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $115,567 per year, or $55.6 per hour.

Forward Deployed Data Engineer

CoorsTek, Inc.

Golden, CO • On-site

$118K - $142K/yr

Full-time

Re-posted 3 days ago


CoorsTek rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

It's exciting to work for a company that makes the world measurably better.
We're committed to bringing safety, quality, and customer focus to the business of advanced ceramics manufacturing.
Job Title
Forward Deployed Data Engineer
Forward Deployed Data Engineer works to understand workflows, data sources, data meaning, and decision needs, then translate those needs into governed Databricks data products, reusable data models, analytics, and AI-enabled solutions.
This role reports to a leader in engineering team and works closely with IT, including Data & Analytics, Manufacturing IT/OT, Enterprise Applications, Cybersecurity, and Architecture. The Forward Deployed Data Engineer bridges plant operations, business leadership, and IT to improve enterprise insight while preserving appropriate plant-level flexibility.
The role supports manufacturing data strategy by aligning plant data, ETL/ELT[RD1.1][DT1.2], data hierarchy, , metrics, and semantic definitions so plant teams and central leadership can make, faster, trusted data driven decisions.
Roles and Responsibilities
  • Understand workflows, constraints, decision points, and data needs embed with manufacturing sites, business units, and functional teams.
  • Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders .
  • Assess manufacturing data alignment across SAP, QAD, Apriso, Ignition, InfinityQS, LIMS, CMMS, equipment data, spreadsheets, databases, and other sources at a plant by plant level.
  • Translate ambiguous business and manufacturing problems into practical data requirements, data products, analytics, applications, and implementation plans.
  • Define mappings, data definitions, transformation rules, business logic, data quality rules, and metric calculations for trusted manufacturing insights.
  • Help establish an aligned manufacturing data hierarchy across sites, equipment, work centers, operations, products, materials, orders, quality events, and maintenance events.
  • Develop and/or support Databricks-based data products, pipelines, notebooks, dashboards, models, and applications using approved architecture and governance patterns.
  • Partner with IT Data & Analytics on ETL/ELT patterns using Databricks, Delta Lake, Unity Catalog, workflows, governed tables, semantic definitions, and reusable data assets.
  • Balance local plant flexibility with enterprise standardization by defining what should be harmonized centrally and what plant variation should be preserved.
  • Improve data capture, completeness, quality, and ownership where source data is inconsistent, manual, incomplete, or not decision-ready.
  • Create minimum viable data products with real users, then mature successful solutions into governed, supportable production patterns, including Databricks-hosted applications.
  • Partner with IT architecture, cybersecurity, enterprise applications, integration, infrastructure, and manufacturing IT/OT to meet standards for identity, access, lineage, logging, supportability, resiliency, and responsible AI usage.
  • Document lineage, transformation logic, business definitions, solution designs, runbooks, ownership models, and reusable patterns that can scale across plants and business units.
  • Coach plant engineers, analysts, and business users on data definitions, data quality, Databricks workflows, analytics adoption, and responsible AI-enabled capabilities.
  • Serve as a point of contact for feedback loop between the business and IT by identifying recurring plant needs, architecture gaps, and reusable platform improvements.

Job Requirements
Education
  • Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Systems, Data Analytics, Computer Science, Information Technology, or a related field required.
  • Master's degree preferred.
Experience
  • 5 or more years of progressive experience in data engineering, analytics engineering, manufacturing systems, industrial technology, enterprise analytics, operational excellence, or a related field.
  • 3 or more years working with manufacturing, plant operations, quality, supply chain, maintenance, engineering, or industrial data environments preferred.
  • Experience translating operational workflows into practical data, analytics, dashboard, pipeline, or application solutions.
  • Experience with Databricks, Delta Lake, lakehouse architecture, SQL, Python, PySpark, data modeling, ETL/ELT, or modern data engineering practices .
  • Preferred experience with manufacturing systems such as SAP, QAD, MES, Apriso, Ignition, InfinityQS, LIMS, CMMS, SCADA, historians, or equipment data sources.
  • Preferred experience across multi-site or global manufacturing environments and influencing outcomes without direct authority.
Functional / Technical Knowledge, Skills & Abilities
  • Strong ability to bridge plant operations, business leadership, and IT by translating manufacturing problems into data, analytics, application, and architecture requirements.
  • Strong understanding of manufacturing performance concepts such as yield, scrap, rework, throughput, cycle time, downtime, quality events, maintenance events, OEE, inventory, and production scheduling.
  • Strong working knowledge of data modeling, transformation, quality, semantic layers, metric definitions, metadata, lineage, and data governance.
  • Working knowledge of Databricks capabilities, including Delta tables, notebooks, workflows/jobs, SQL, Unity Catalog, data lineage, and governed analytical access patterns.
  • Ability to write and review SQL and Python-based data transformation logic; PySpark experience preferred.
  • Ability to define practical data hierarchies and translation layers that support local operational needs while enabling enterprise reporting and leadership insight.
  • Ability to develop prototypes, MVPs, dashboards, data products, and Databricks-enabled applications that validate value quickly and improve iteratively.
  • Ability to partner effectively with IT teams on architecture, cybersecurity, integration, enterprise applications, infrastructure, support, and lifecycle expectations.
  • Strong communication and documentation skills, including data dictionaries, mapping documents, process flows, business logic definitions, architecture notes, testing evidence, and runbooks.
  • Ability to manage multiple initiatives, prioritize by business value, work in ambiguity, and travel frequently for plant-facing data alignment and enablement.
Preferred Certifications
  • Relevant Databricks certifications, including Data Engineer, Data Analyst, Machine Learning, or Lakehouse Fundamentals preferred.
  • Relevant Microsoft Azure, Power BI, data engineering, analytics, AI, or cloud certifications preferred.
  • Lean Six Sigma, operational excellence, manufacturing systems, ISA-95, APICS, or related industrial operations certifications are a plus.

Target Hiring Range
Annual Salary: USD 130.00 - USD 170.00
Actual compensation is commensurate with experience, skills and education. CoorsTek strives to give all qualified applicants equal opportunity and to make selection decisions on job related factors. Do not provide any information on the application which will indicate your race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, pregnancy, genetic information, veteran status, or any other status protected by law or regulation.
If you like working for a company that makes a real difference in the world, you'll enjoy your career with us!

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