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Alternative Data Jobs (NOW HIRING)

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

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 ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies.

The Hollister Group

Data Scientist - NYC

Newton, MA · On-site +1

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies.

Point72

Sector Analyst, MI-Data

New York, NY · On-site

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage * Produce ...

Point72

Sector Analyst, MI-Data

New York, NY

Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the industry and companies within your coverage * Produce ...

Quanta Search

Data Engineer Associate

Manhattan, NY

$125K - $150K/yr

ImplementETL pipelines for the ingestion of market data and alternative data sets. * AutomateDAG deployment. Requirements * Undergraduate or other professional degree/certification in Computer ...

Purple Drive Technologies

Data Scientist

Chicago, IL · On-site

Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage. Ability to think independently, creatively approach data analysis ...

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Alternative Data information

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$46K

$165K

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How much do alternative data jobs pay per year?

As of Jun 10, 2026, the average yearly pay for alternative data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Alternative Data position, and why are they important?

To thrive in an Alternative Data role, you need strong analytical skills, experience with data collection and processing, and a background in quantitative disciplines such as finance, statistics, or computer science. Proficiency in programming languages like Python or R, familiarity with data visualization tools, and experience working with big data platforms are essential, with certifications in data analysis or finance being advantageous. Excellent communication, problem-solving abilities, and intellectual curiosity help professionals excel at explaining complex findings and creating actionable insights for stakeholders. These combined abilities are vital for extracting value from unconventional datasets and driving informed business decisions.

What is an Alternative Data job?

An Alternative Data job involves collecting, analyzing, and interpreting non-traditional data sources—such as satellite imagery, web traffic, or transaction data—to generate insights for financial, investment, or business decisions. Professionals in this field work with data engineering, machine learning, and statistical analysis to derive actionable intelligence. These roles are common in hedge funds, private equity firms, and large corporations looking for a competitive edge through unconventional data sources. Skills required typically include programming (Python, SQL), data wrangling, and domain expertise in finance or technology.

What types of projects or data sources do professionals in Alternative Data roles typically work with?

Professionals in Alternative Data roles often engage with non-traditional datasets such as satellite imagery, social media trends, credit card transaction records, web scraping data, and sensor or geolocation information to uncover actionable insights. Projects may involve evaluating consumer behavior, forecasting economic activity, or identifying trends that standard financial data might miss. The work frequently requires collaborating with data engineers, analysts, and business strategists to source, clean, and interpret large, unstructured datasets. If you enjoy tackling complex data-driven problems and uncovering new patterns to gain a competitive edge, this is a highly dynamic and impactful role.

More about Alternative Data jobs
What cities are hiring for Alternative Data jobs? Cities with the most Alternative Data job openings:
What states have the most Alternative Data jobs? States with the most job openings for Alternative Data jobs include:
What job categories do people searching Alternative Data jobs look for? The top searched job categories for Alternative Data jobs are:
Alternative Data jobs near you
Infographic showing various Alternative Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineering Manager

Data Engineering Manager

YipitData (Alternative)

OR • On-site, Remote

Other

Retirement, PTO

Posted 19 days ago

Job description

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.

About The Role:
We are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling the data pipelines and models that power YipitData's alternative data products. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.
As a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You'll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, AI, Airflow, PySpark, and SQL.
What You'll Do
  • 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 up between $190,000~ $230,000, with a variable target up to 15% 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.

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