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Data Migration Jobs in Colorado (NOW HIRING)

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework. * Support the "lift-and-shift" transition ...

Database Architect - Senior

Lakewood, CO · On-site

$67.25 - $90/hr

Advise on data migration and modernization efforts. Skills & Qualifications: * Strong database design and modeling expertise. * Experience with data security and integrity controls. * Proficiency ...

Database Architect - Senior

Lakewood, CO · On-site

$67.25 - $90/hr

Advise on data migration and modernization efforts. Skills & Qualifications: * Strong database design and modeling expertise. * Experience with data security and integrity controls. * Proficiency ...

IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC)

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

Practical familiarity with cloud service platforms, especially AWS (such as S3, EC2, Lambda) and data-migration methodologies.Modern Scripting: Proficient with R for data analytics and visualization.

Informatica Developer

Denver, CO · On-site

$54.75 - $72/hr

Participate in data migration and modernization projects. * Ensure compliance with enterprise data governance standards. Preferred Skills * Informatica PowerCenter * ETL Development * SQL * Data ...

Senior Project Manager

Almont, CO · On-site

$70 - $80/hr

Oversee requirements, solution design reviews, testing, data migration planning, deployment preparation, and operational readiness. * Maintain project controls, documentation, and quality management ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... migration efforts and legacy system integration with modern cloud infrastructure REQUIRED QUALIFICATIONS Core GCP Skills ▸ 5+ years of experience in data engineering with at least 3 years on Google ...

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

This includes coordinating data migration efforts during EBS upgrades or cloud adoption initiatives and communicating clearly with non-technical stakeholders about data architecture decisions.

Showing results 21-40

Data Migration information

See Colorado salary details

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How much do data migration jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data migration in Colorado is $40.22, according to ZipRecruiter salary data. Most workers in this role earn between $28.29 and $48.20 per hour, depending on experience, location, and employer.

What does a data migration do?

A data migration involves transferring data from one system, storage, or format to another, often during system upgrades or consolidations. Data migration specialists plan, execute, and verify the process to ensure data integrity and minimal downtime, frequently using tools like ETL (Extract, Transform, Load) software. The role requires attention to detail, knowledge of databases, and adherence to security standards.

What are the key skills and qualifications needed to thrive in the data migration position, and why are they important?

To thrive in Data Migration, you need strong expertise in database management, data mapping, and ETL (Extract, Transform, Load) processes, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Microsoft SQL Server, Oracle, Informatica, or similar platforms, as well as certifications in data management or cloud technologies, is highly valued. Excellent problem-solving skills, attention to detail, and clear communication are key soft skills for success in this role. These capabilities are critical to ensuring data integrity, minimizing downtime, and facilitating smooth transitions during system upgrades or technology changes.

What are the typical challenges faced by data migration professionals, and how can they be addressed?

Data Migration professionals often encounter challenges like data inconsistencies, legacy system incompatibility, and unanticipated downtime during migration projects. Careful planning, thorough testing, and strong documentation are essential to mitigate these risks. Working collaboratively with IT, business analysts, and end users helps anticipate potential issues and ensures all data requirements are met. A proactive approach to troubleshooting and continuous communication with stakeholders helps achieve successful, error-free migrations. As a Data Migration expert, you'll frequently navigate these situations to deliver smooth transitions for organizations undergoing digital transformation.

What are data migration jobs?

Data migration jobs involve transferring data from one system, format, or storage environment to another, often requiring knowledge of databases, data structures, and migration tools. These roles typically require skills in data analysis, scripting, and familiarity with database management systems to ensure accurate and secure data transfer.

What is a data migration?

A Data Migration job involves transferring data from one system, format, or storage location to another while ensuring its integrity, accuracy, and security. This process is common during system upgrades, cloud migrations, or database consolidations. Data migration specialists analyze source and target systems, map data fields, and implement validation procedures to prevent data loss or corruption. They may also clean and transform data to meet new system requirements. Effective data migration ensures minimal downtime and seamless transition for businesses.

What are the most commonly searched types of Data Migration jobs in Colorado? The most popular types of Data Migration jobs in Colorado are:
What are popular job titles related to Data Migration jobs in Colorado? For Data Migration jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Migration jobs? Cities in Colorado with the most Data Migration job openings:
Infographic showing various Data Migration job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $83,659 per year, or $40.2 per hour.

Water Level Data Manager

CSS, Inc

Boulder, CO • On-site

$60K - $70K/yr

Full-time

Re-posted 21 days ago


Job description

CSS is seeking a Water-level Data Manager to support NOAA's National Centers for Environmental Information's (NCEI), Coasts Oceans and Geophysics (COGS) Division and Data Archive Branch. The Water-level Data Manager is responsible for the end-to-end stewardship lifecycle of coastal and deep-ocean water-level datasets (such as tide gauge observations, bottom pressure recorder data, and related marine geophysical datasets). This role is critical to the NCEI mission of preserving, documenting, and disseminating high-quality climate and oceanographic records.
The successful candidate will manage raw data ingest pipelines, ensure compliance with metadata standards to make data Findable, Accessible, Interoperable, and Reusable (FAIR), manage public dataset dissemination, and support infrastructure modernization-including Open Information Stewardship Service (OISS) workflows and cloud-native database transitions.
Location & Work Arrangement
  • Location: Boulder, CO
  • Work Arrangement: Hybrid to include a minimum of 2 days per week onsite, supporting a geographically dispersed team.
Responsibilities
1. Data Ingest and Archiving
  • Manage the end-to-end intake pipelines for raw water-level observational data from diverse partner networks, observing platforms, and in situ sensors.
  • Act as the primary technical Point-of-Contact (POC) for external data providers, scientific partners, and operational agencies regarding data ingest schedules, transfer mechanisms, and archiving anomalies.
  • Examine, validate, and process incoming data streams to verify completeness, perform initial quality assurance/quality control (QA/QC), run unit conversions, and execute necessary format reformatting.
  • Securely archive processed datasets in NCEI storage systems in accordance with federal data preservation guidelines.

2. Metadata Compliance and Documentation
  • Author, validate, and maintain standards-compliant XML metadata records (such as ISO 19115 and ISO 19139) to describe water-level collections and products.
  • Work collaboratively with science teams and data partners to establish data documenting standards, including assigning standardized global attributes within scientific formats.
  • Support the implementation of controlled scientific vocabularies and taxonomies to ensure semantic interoperability and discoverability in platforms like NOAA OneStop, Geoportal, and Data.gov.
  • Author and update technical Standard Operating Procedures (SOPs), data specification agreements, and workflow architecture descriptions.

3. Public Dissemination and Data Access
  • Coordinate and oversee the public release of finalized coastal and deep-ocean datasets, ensuring low-latency access for stakeholders and the broader scientific community.
  • Maintain Web Accessible Folders (WAFs) and open-access interoperable data catalogs that support search interfaces and map viewers.
  • Respond to technical data queries from academic, commercial, and governmental users, documenting customer interactions in tracking repositories.

4. Workflow Modernization and Cloud Migration
  • Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework.
  • Support the "lift-and-shift" transition of legacy on-premise archiving pipelines, databases, and metadata files into cloud environments (principally AWS) to enhance scalability and cloud-native access.
  • Assist in modernizing scientific data processing systems by applying automated continuous integration/continuous deployment (CI/CD) practices.
Required Skills
  • Data Stewardship: Proven experience in scientific or environmental data management, including archiving, validating, and managing large datasets.
  • Metadata Standards: Deep understanding of geospatial metadata standards, specifically ISO 19115, ISO 19139, or FGDC CSDGM.
  • Modern Scripting: Proficient programming skills in Python for automating data ingest, processing pipelines, and manipulating metadata.
  • Database & APIs: Some experience with SQL database management systems (such as PostgreSQL/PostGIS) and building or interacting with REST-based APIs.
  • Version Control: Demonstrated experience using Git and collaborative repositories (e.g., GitHub or GitLab) in a software development environment.
  • Technical Writing: Exceptional verbal and written communication skills with experience drafting technical documentation, user guides, or formal Standard Operating Procedures (SOPs).
  • Security Clearance: Must be able to pass a background investigation to obtain a federal security badge for access to government facilities and IT networks.
Preferred Skills
  • Environmental/Oceanographic Domain Knowledge: Familiarity with coastal observing systems, tide and water-level observations, or oceanographic research variables.
  • Scientific Data Formats: Experience working with traditional scientific self-documenting formats (e.g., netCDF, HDF5) and cloud-optimized formats (e.g., Parquet, Zarr).
  • Cloud Architecture: Practical familiarity with cloud service platforms, especially AWS (such as S3, EC2, Lambda) and data-migration methodologies.
  • Modern Scripting: Proficient with R for data analytics and visualization.
  • Containerization & Devops: Familiarity with Docker or Podman container tools, and Agile/Scrum software development frameworks.
  • Workflow Automation: Experience developing or maintaining orchestration services, web service pipelines, or ETL/ELT processes.
Education
  • Bachelor's degree in Physical Science (such as Oceanography, Atmospheric Science, Meteorology, or Physics), Computer Science, Library or Information Science, or a related scientific/technical discipline.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.