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Synapse Remote Jobs in Colorado (NOW HIRING)

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Expertise with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data ...

All JobsSynapse JobsSynapse Remote JobsSynapse Remote Jobs in Colorado

Synapse Remote information

How does working remotely as a Synapse Engineer impact collaboration with other team members?

As a Synapse Engineer working remotely, you’ll typically collaborate with cross-functional teams—including data engineers, analysts, and product managers—using digital communication and project management tools. Regular virtual meetings, shared documentation, and collaborative platforms are essential to ensure seamless teamwork, especially when designing and optimizing data workflows. While remote work offers flexibility, it also requires proactive communication and time management to stay aligned with team goals and project deadlines. Building strong relationships virtually can take additional effort but is key to success in a remote Synapse role.

What are the key skills and qualifications needed to thrive as a Synapse Remote Support Specialist, and why are they important?

To thrive as a Synapse Remote Support Specialist, you need strong technical troubleshooting abilities, knowledge of Synapse software, and experience with IT support, typically backed by relevant education or certifications. Familiarity with remote desktop tools, ticketing systems, and possibly certifications like CompTIA A+ or Microsoft certifications is common. Excellent communication, patience, and problem-solving skills help you effectively assist users and resolve technical issues remotely. These skills ensure efficient support delivery, high customer satisfaction, and minimal downtime for users relying on Synapse systems.

What is the difference between Synapse Remote vs Data Analyst?

AspectSynapse RemoteData Analyst
Required CredentialsBachelor's in related field, technical skillsBachelor's in statistics, mathematics, or related field
Work EnvironmentRemote, collaborative teamsOffice or remote, depending on employer
Industry UsageTech, healthcare, financeBusiness, marketing, finance
Common Search IntentRemote data roles, tech companiesData analysis jobs, business insights

Synapse Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Synapse Remote focuses on remote data-related positions across various industries, Data Analysts typically work on interpreting data to inform business decisions, often in office or hybrid settings. Both roles are in high demand and share overlapping skill sets, but their work environments and specific job functions differ slightly.

What are Synapse Remote jobs?

Synapse Remote jobs refer to remote or work-from-home positions offered by Synapse, a company specializing in technology solutions such as payment processing, banking-as-a-service, or cloud infrastructure. These roles allow employees to work from anywhere, typically involving tasks like software development, customer support, compliance, or product management. Working remotely with Synapse provides flexibility, access to cutting-edge technology, and the ability to collaborate with a global team. Employees are expected to maintain strong communication skills and self-motivation while delivering high-quality work.
What are popular job titles related to Synapse Remote jobs in Colorado? For Synapse Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Synapse Remote jobs in Colorado look for? The top searched job categories for Synapse Remote jobs in Colorado are:
Synapse Remote jobs near you
Infographic showing various Synapse Remote job openings in Colorado as of June 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 100% Remote job distribution.

Data Engineer, Principal

Releady

Denver, CO • On-site, Remote

$170K - $190K/yr

Contractor

Posted 4 days ago

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $85–$95/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Data Platform Architecture & Delivery

Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts.

Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources.

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products.

Cross-Functional Solution Design

Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely.

Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency.

Quality, Governance & Operations

Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines.

Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting.

Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows.

Technical Leadership & AI Enablement

Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices.

Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes.

Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases.

Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy.

QUALIFICATIONS

Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience.

Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.

Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.

Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent.

Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security.

Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments.

Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks.

Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures.

Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira.

Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered)

Experience in healthcare, regulated environments, or large enterprises is strongly preferred.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.