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Data Engineer Airflow Jobs in Draper, UT (NOW HIRING)

Data Architect

Lehi, UT ยท On-site

$59.75 - $77/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on ... Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)

Data Architect

Lehi, UT ยท On-site

$140 - $190/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on ... Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)

Staff Data Architect

Lehi, UT ยท On-site

$140 - $210/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on ... Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)

Data & Infrastructure Engineer

Draper, UT ยท On-site

$107K - $128K/yr

Position Overview We are seeking a skilled and motivated Data & Infrastructure Engineer to own and ... Airflow, Dagster) * Familiarity with React/TypeScript (not required, but helpful for full-stack ...

... a Staff Data Warehouse Engineer and help build the trusted data backbone that powers decision ... Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or ...

Data Warehouse Engineer

Orem, UT ยท On-site

$95 - $116/hr

Greenix Pest Control is seeking a Data Warehouse Engineer to own the raw, bronze, and silver layers ... Experience with pipeline orchestration/scheduling tools (e.g., Orchestra, Airflow, Dagster, Prefect ...

New

We'd love to chat if you have: * 8+ years of experience in data engineering or combined software ... Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or ...

... Airflow, Debezium, Iceberg, Trino, and Spark. * Mentor international engineering teams ... Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency ...

... Airflow, Debezium, Iceberg, Trino, and Spark. * Mentor international engineering teams ... Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency ...

... Airflow, Debezium, Iceberg, Trino, and Spark. * Mentor international engineering teams ... Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency ...

Partner with our BI and Data Engineering teams on metric definitions and data infrastructure * Work ... Experience working with orchestration tools such as Airflow or Orchestra * Experience on a small or ...

Showing results 21-40

Data Engineer Airflow information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do data engineer airflow jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer airflow in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Draper, UT?

For Data Engineer Airflow jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Draper, UT look for?

The top searched job categories for Data Engineer Airflow jobs in Draper, UT are:

What cities near Draper, UT are hiring for Data Engineer Airflow jobs?

Cities near Draper, UT with the most Data Engineer Airflow job openings:

Data Architect

Opiniion

Lehi, UT โ€ข On-site

$59.75 - $77/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Key responsibilities

  • Own the architecture of the data platform, including ingestion, transformation, storage, and semantic/BI layers.

  • Partner with the Staff Software Architect to co-drive the architecture and rollout of the new platform.

  • Design and implement data models, pipelines, and standards to support analytics, AI, and data governance across the organization.


Job description

Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies. Driven by a forward-thinking team, we're shaping the future of resident engagement. Our continued growth and commitment to innovation make this an exciting time to be part of our team!
LOCATION: Lehi, UT
HYBRID: Monday-Wednesday In-office
POSITION OVERVIEW:
Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data Architect to own the architecture of our data platform end to end: how data is ingested, modeled, governed, and made available for analytics and AI across the company. As we scale, this role will be critical to building a data foundation that can support increasingly sophisticated analytical models.
You'll partner closely with our Staff Software Architect to drive the technical direction of our next generation platform, pairing deep data architecture with application architecture to build something cohesive from the ground up.
We're building a new platform alongside our current one, so this role requires balance: owning and evolving the current data foundation while architecting what's next, and making clear decisions about what carries over versus what gets rebuilt.
This is a role for someone who thinks in data models and pipelines, can make platform level tradeoffs with confidence, and stays hands on with the systems they design.
WHAT YOU'LL DO:
  • Own the architecture of our data platform, including ingestion, transformation, storage, and semantic/BI layers
  • Partner with the Staff Software Architect to co-drive the architecture and rollout of our new platform
  • Balance ownership of the current data platform with architecting the new one, making deliberate calls on what to carry over, what to rebuild, and how the two coexist during the transition
  • Architect the data foundation needed to scale, ensuring the platform can support growing data volume, complexity, and analytical demand
  • Own canonical data models, schema design, and data architecture standards across the platform
  • Design and implement correlation, causation, and statistical models to support deeper, more reliable insights across the platform
  • Lead platform decisions across our data stack, built primarily on Databricks
  • Architect governed, reusable data pipelines feeding BI tools like Omni and downstream AI/ML use cases
  • Establish data quality, governance, and lineage practices across the organization
  • Partner with engineering leadership and business stakeholders to translate reporting and analytics needs into scalable data architecture
  • Guide and mentor data engineers through design reviews, technical documentation, and hands on support
  • Evaluate and recommend data tools, frameworks, and platform investments, including build vs. buy calls
  • Support AI/ML initiatives with well modeled, accessible, and trustworthy data foundations

WHAT YOU BRING:
  • 10+ years of experience in data engineering or data architecture, including 7+ years in an architect or technical leadership capacity
  • Deep expertise in Databricks (Delta Lake, Unity Catalog) or a comparable modern cloud data platform such as Snowflake
  • Strong background in data modeling methodologies (dimensional modeling, medallion/lakehouse architecture, data vault)
  • Experience designing statistical, correlation, and causation models to support analytics and decision making
  • Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)
  • Proficiency in SQL and Python, with experience in distributed processing (Spark/PySpark)
  • Experience designing data governance frameworks including data quality, lineage, and access control
  • Familiarity with BI and semantic layer tools (Omni, Looker, Tableau, or similar)
  • Working knowledge of cloud infrastructure (AWS, GCP, or Azure)
  • Understanding of security and compliance frameworks relevant to data platforms (SOC 2, data privacy regulations)
  • Exposure to AI/ML data readiness: feature pipelines, vector stores, or RAG-supporting data architectures is a strong plus
  • Excellent communication skills, with the ability to translate technical tradeoffs for non-technical stakeholders
  • A strong bias for action and a mindset of continuous improvement
  • Comfort co-owning technical direction alongside a peer architect, without needing a single-owner model

NICE TO HAVE:
  • Experience with Databricks AI/BI or similar embedded AI/analytics tooling
  • Background in post-acquisition data integration or consolidating disparate data sources
  • Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar)
  • Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data handling)
  • Background in high-growth SaaS environments or post-acquisition infrastructure consolidation

Join Opiniion's dynamic development team and contribute your skills to build innovative solutions. If you are a passionate Data Architect seeking a challenging and collaborative environment, we'd love to hear from you!
OPINIION'S CULTURE:
At Opiniion, we take our work seriously, but we don't take ourselves too seriously! We work hard together, and we have a lot of fun doing it. We are a team that believes in real autonomy: you own your area, solve problems, and move fast enough to actually see the change you make. The people here are invested in each other just as much as they're invested in the work, and that combination is what makes this place different. We believe in collaboration, innovation, and building a team that truly cares-about our clients, their residents, and each other.
BENEFITS SNAPSHOT:
  • Comprehensive healthcare plans, encompassing medical, dental, and vision insurance, along with group life coverage. Opiniion covers 40-90% of the premium cost for employees and all dependents.
  • 401(k) retirement plan with a 100% corporate match on the first 1% and 50% match on the next 5%.
  • Pre-tax Health Savings Accounts (HSA).
  • Paid Parental Leave for all new parents (including adoption or foster care).
  • Unlimited Time Off policies.
  • 10 Paid Holidays annually.
  • Monthly Wellness Reimbursement benefit.

*Note that the above benefits are available only to full-time employees of Opiniion*
Opiniion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.