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Data Migration Assistant Jobs in Colorado (NOW HIRING)

Collaborate with the Data Migration Team to develop and refine operational data workflows within ... * Assist in modernizing scientific data processing systems by applying automated continuous ...

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 ... * Assist in modernizing scientific data processing systems by applying automated continuous ...

Collaborate with the Data Migration Team to develop and refine operational data workflows within ... * Assist in modernizing scientific data processing systems by applying automated continuous ...

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... migration. The contractor will may also assist with Oracle database and stored-procedure-based ...

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

Assist in modernizing scientific data processing systems by applying automated continuous ... data-migration methodologies.Modern Scripting: Proficient with R for data analytics and ...

Support migration of workforce data from legacy HR systems into the new HR environment * Validate ... Ensure workforce processes are accurately mapped during system implementation * Assist with ...

Provide technical expertise and professional experience to assist the team in planning, estimation ... Strong proficiency in Salesforce data modeling, schema design, and data migration techniques.

Environmental Air Data Analyst

Denver, CO · On-site

$135K - $152K/yr

... migration from legacy systems and reconciliation of historical permit and emissions records. * Assist with internal and external compliance audits by generating data extracts, producing summary ...

Validate data migration activities to ensure accuracy, completeness, and integrity during system ... and impediments/blockers. * Assist with training, troubleshooting, end-user support, and ...

... ensure a smooth, data-driven migration. Responsibilities * Business Process Analysis and ... Support SOX compliance controls related to ERP financial transactions and audit trails. * Assist ...

ERP Analyst SME

Littleton, CO · On-site

$110 - $150/hr

... ensure a smooth, data-driven migration. Responsibilities * Business Process Analysis and ... Support SOX compliance controls related to ERP financial transactions and audit trails. * Assist ...

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Data Migration Assistant information

See Colorado salary details

$26

$66

$82

How much do data migration assistant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data migration assistant in Colorado is $66.44, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $78.46 per hour, depending on experience, location, and employer.

What does a data migration assistant do?

A Data Migration Assistant is responsible for helping organizations move data from one system or storage solution to another. This involves assessing data quality, planning and executing migration strategies, ensuring data integrity, and troubleshooting issues that arise during the process. They often work with IT teams to minimize downtime and ensure that critical data is transferred securely and accurately. Data Migration Assistants may also document procedures and provide support after the migration is complete.

What are the key skills and qualifications needed to thrive as a data migration assistant, and why are they important?

To thrive as a Data Migration Assistant, you need strong analytical skills, attention to detail, and a basic understanding of database structures and data management, often supported by a relevant degree or experience. Familiarity with data migration tools (such as SQL, ETL software, or Microsoft Data Migration Assistant), spreadsheet programs, and data validation systems is typically required. Excellent problem-solving abilities, effective communication, and organizational skills help you manage tasks and collaborate with team members. These skills ensure accurate, efficient data transfers and minimize risks of data loss or errors during migration projects.

What are some common challenges data migration assistants face during large-scale data transfers, and how are they typically addressed?

Data Migration Assistants often encounter challenges such as data incompatibility between old and new systems, maintaining data integrity, and minimizing downtime during transfers. To address these, they work closely with IT teams to perform thorough data mapping, conduct trial migrations, and validate data accuracy post-migration. Regular communication with stakeholders and using specialized migration tools also help ensure a smooth transition and timely issue resolution.

What is the difference between Data Migration Assistant vs Data Analyst?

AspectData Migration AssistantData Analyst
Required CredentialsCertifications in data management, SQL, and cloud platformsDegree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentIT teams, data migration projects, enterprise environmentsBusiness units, reporting teams, data visualization platforms
Employer & Industry UsageIT departments in tech, finance, healthcare; focus on data transferMarketing, finance, consulting; focus on data insights

The Data Migration Assistant primarily focuses on transferring and validating data between systems, requiring technical skills and certifications. In contrast, Data Analysts interpret data to provide insights, often working with visualization and reporting tools. While both roles handle data, their core functions and environments differ significantly.

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 cities in Colorado are hiring for Data Migration Assistant jobs?

Cities in Colorado with the most Data Migration Assistant job openings:

Infographic showing various Data Migration Assistant job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,199 per year, or $66.4 per hour.

Water Level Data Manager

CSS Inc

Boulder, CO • On-site

$70 - $90/hr

Other

Re-posted 17 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.

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