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Remote Senior Data Engineer Jobs in Utah (NOW HIRING)

JourneyTEAM

Senior Data Engineer

Draper, UT · On-site +1

$126K - $176K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in ...

KēSTA I.T.

Sr. Data Engineer | DataStage

Midvale, UT · On-site +1

Data Engineer Overview Our client is seeking a Data Engineer with extensive DataStage, SQL and ETL experience. In this role you'll join a fast-paced Enterprise Technology and Operations team within a ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R ... Potential to work in a remote setting; * Exciting/energetic work environment and fun, creative ...

Milliman

Data Engineer (MedInsight)

Salt Lake City, UT · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110K - $133K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80K - $101K/yr

Serve as a senior analytics partner to the Credit team, providing data-driven insights across ... and feature engineering, complementing SQL-based workflows and improving analytical efficiency

ACD Direct

Techops Engineer -Senior Level

Farmington, UT · Remote

$99K - $136K/yr

TechOps Engineer - Senior About the Role? We're hiring a Senior TechOps Engineer to own the ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

Egnyte

Senior Sales Engineer

Draper, UT · Remote

$125K - $140K/yr

SENIOR SOLUTIONS ENGINEER US REMOTE; RALEIGH, NC, DRAPER, UT EGNYTE YOUR CAREER. SPARK YOUR PASSION ... data. When joining Egnyte, you're not just landing a new career, you become part of a team of ...

Wood Plc

Senior Electrical Engineer

Salt Lake City, UT · On-site +1

$104K - $135K/yr

... remote working. Key Responsibilities * Provide leadership and mentoring to junior staff * Lead ... Data collection, coordination, analyses, report generation, and design development * Effective ...

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Remote Senior Data Engineer information

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are Remote Senior Data Engineers?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a Remote Senior Data Engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

What are the key skills and qualifications needed to thrive as a Remote Senior Data Engineer, and why are they important?

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
What are popular job titles related to Remote Senior Data Engineer jobs in Utah? For Remote Senior Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Senior Data Engineer jobs in Utah look for? The top searched job categories for Remote Senior Data Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Senior Data Engineer jobs? Cities in Utah with the most Remote Senior Data Engineer job openings:
Remote Senior Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

JourneyTEAM

Draper, UT • On-site, Remote

$126K - $176K/yr

Full-time

Medical, Dental, Retirement

Posted yesterday

Job description

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in-class solutions. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!
About JourneyTeam
JourneyTeam helps companies implement business solutions and improvements through Microsoft technologies. JourneyTeam is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.
What truly sets us apart is how we show up every day-for our customers and for each other. We believe that great outcomes come from great people who are aligned in how they work, collaborate, and take ownership. We succeed by consistently demonstrating our core values:
  • A Caring Mindset
  • Exceptional Performance
  • Being OneTeam
  • Making & Keeping Commitments
  • Taking Ownership
  • Effective Communication
  • A Growth Mindset

The Opportunity
The Senior Data Engineer Consultant plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to discover business requirements and work alongside our clients as you architect and implement modern data engineering solutions within the Microsoft ecosystem. You will also mentor others and lead the solution design and build process as you meet client expectations and project scope.
Key Responsibilities
  • Help set vision, strategy and roadmap for JourneyTeam data engineering. Incorporate both Microsoft and industry best practices.
  • Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
  • Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
  • Develop "best-in-class" data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.
  • Design, develop, and optimize complex dimensional models for reporting (star schemas).
  • Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars.
  • Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
  • Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and "crush-it" mentality.
  • Diagramming and documentation champion.
  • Excellent leadership, communication, and project management skills.

Qualifications
  • Proven track record with at least 7+ years hands-on experience in data engineering, preferably within the Microsoft ecosystem.
  • 3+ years' experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
  • Demonstrate strong alignment with JourneyTeam values.
  • Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
  • Architectural design and experience building data orchestration and pipelines using metadata driven techniques.
  • Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
  • In-depth understanding and practical application of modern data and security architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
  • Successful management of data engineering projects, including planning, execution, and delivery.
  • Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
  • Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.
  • The ideal team member is an analytical problem solver with extensive technical expertise, a deep understanding of data engineering concepts, and a passion for modern data lakehouse technologies.

Nice To Have (Not Required)
  • Bachelor's or master's degree in computer science, informatics, data science or related technical discipline.
  • Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
  • Azure Databricks experience.
  • Relevant industry certifications, especially Microsoft.

Pathway to Success
30 Days:
  • Read and review "The Data Warehouse Toolkit" by Ralph Kimball
  • Participate and contribute to group training plan
  • Shadow other data engineers to learn the implementation process and tasks required throughout our projects.
  • Be assigned to a project and support tasks.

90 Days:
  • Independently own, architect and implement customer solutions.
  • Build data standards and templates and train team on value and adoption.

6 months:
  • Fully involved in project and support efforts and be a contributing member of project teams and long-term client support
  • Achieve a Microsoft certification
  • Achieve a 75% customer engagement rate by the beginning of six-month period.

Compensation:
The base salary range for this role is $126,500 - $176,000 + performance-based bonus program. Eligibility and payout are tied to individual contributions, team performance, and company success.
This is the established pay range for the Senior Data Engineer roles at JourneyTeam on the Data & AI Solutions Practice.
Benefits:
JourneyTeam offers a wide range of excellent benefits, including comprehensive healthcare and dental coverage, as well as a 401(k) with an approximate 4% employer match-with immediate vesting. We offer flexible time off and provide paid maternity and paternity leave.
Additional perks include a monthly phone stipend (or the option to join our corporate phone plan) and a monthly gym membership reimbursement of up to $200.
JourneyTeam is an Equal Opportunity Employer. This position is not open to C2C, H1B sponsorships, or third-party agencies.
JOB CODE: 1000100

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