Remote Azure Data Engineer Jobs in Oregon (NOW HIRING)

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You'll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for.

• Own the design, build, and optimization of end-to-end data pipelines for our various strategic datasets.
• Establish and enforce best practices in data modeling, data pipelining, data architecture, and system reliability.
• Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.
• Work extensively with Databricks and various AI toolings for large-scale data processing and orchestration.
• Troubleshoot and resolve complex pipeline issues to ensure reliability and performance.
• Contribute to the team's technical strategy, helping drive improvements in scalability, performance, and efficiency.
• Lead, mentor, and support engineers through challenges, code reviews, and project execution.

What We're Looking For

• 6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).
• 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
• Strong expertise in SQL and distributed data systems.
• Proficiency with PySpark and Databricks for processing and scaling large datasets.
• Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).
• Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.
• Strong problem-solving skills and ability to translate business needs into scalable technical solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Nice to Have

• Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
• Familiarity with Django or similar web frameworks to support data-driven applications.

This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver or Mountain View,), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. 

As Our Data Engineering Manager You Will:

• Working with product team to bring an idea to reality
• Leveraging cutting edge technologies to solve complex data problems
• Helping to lead a team through different data models and architectural decisions

You Are Likely To Succeed If:

• Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
• Experience building a reliable and efficient data pipelines
• Ability to meet tight deadlines in a fast paced environment

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual salary for this position is anticipated to be $190,000 with a variable target up to 10% The compensation package also includes equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

Job Applicant Privacy Notice