ZipRecruiter

Log In

1

Spotify Data Science Jobs in Colorado (NOW HIRING)

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

We build pipelines and prepare data for use by data scientists, data analysts, and other data ... Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more * Employee ...

All JobsSpotify Data Science JobsSpotify Data Science Jobs in Colorado

Spotify Data Science information

See Colorado salary details

$22.1K

$110K

$198.2K

How much do spotify data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for spotify data science in Colorado is $110,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,245.00 and $151,555.00 per year, depending on experience, location, and employer.

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

To thrive as a Spotify Data Science professional, you need a solid grounding in statistics, machine learning, data analysis, and experience with programming languages such as Python or Scala, generally supported by a degree in computer science, math, or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud computing, SQL, and data visualization tools is highly valued, as are certifications in data science or analytics. Strong communication skills, creativity, and cross-functional collaboration are vital soft skills for translating data insights into actionable business solutions. These skills enable you to effectively analyze user behavior, improve product recommendations, and drive data-informed decisions in Spotify’s fast-paced, innovative environment.

What is the typical work environment and team structure for a Data Science role at Spotify?

Spotify Data Scientists commonly work in cross-functional teams alongside engineers, product managers, and designers, focusing on projects such as enhancing recommendation algorithms or analyzing user engagement. The environment is collaborative and fast-paced, often involving agile methodologies and regular knowledge sharing through team standups, code reviews, and data deep dives. Data Scientists are encouraged to experiment, drive innovation, and contribute ideas across the product lifecycle, making it an engaging setting for continuous learning. Team members may work remotely or from Spotify offices, with a strong emphasis on open communication and diversity of thought.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and level within the company. They often work with large datasets, programming languages like Python or R, and tools such as Spark or Hadoop.

What do data scientists at Spotify do?

Data scientists at Spotify analyze large datasets to understand user behavior, improve recommendation algorithms, and optimize the platform's features. They use statistical models, machine learning techniques, and tools like Python and SQL to derive insights that enhance user experience and engagement.

How to become a data scientist for Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming (especially Python or R), and data analysis. Relevant experience with machine learning, data visualization, and familiarity with big data tools like Spark or Hadoop are also important, along with a bachelor's or master's degree in a related field such as computer science, mathematics, or engineering.

Is it hard to get hired by Spotify?

Getting hired as a data scientist at Spotify can be competitive, as the company seeks candidates with strong analytical skills, experience with machine learning, and proficiency in tools like Python and SQL. Candidates often go through multiple interview rounds, including technical assessments and behavioral interviews, to demonstrate their expertise and cultural fit.

What is a Spotify Data Science job?

A Spotify Data Science job involves analyzing user behavior, music trends, and product performance to drive data-informed decisions. Data scientists at Spotify work with large-scale datasets, use machine learning and statistical models, and collaborate with product, engineering, and business teams. They help improve recommendations, personalize user experiences, and optimize content discovery. The role typically requires strong programming skills (Python, SQL), experience with data visualization, and expertise in A/B testing and experimentation.

What are the most commonly searched types of Spotify Data Science jobs in Colorado? The most popular types of Spotify Data Science jobs in Colorado are:
What are popular job titles related to Spotify Data Science jobs in Colorado? For Spotify Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Spotify Data Science jobs in Colorado look for? The top searched job categories for Spotify Data Science jobs in Colorado are:
What cities in Colorado are hiring for Spotify Data Science jobs? Cities in Colorado with the most Spotify Data Science job openings:
Spotify Data Science jobs near you
Infographic showing various Spotify Data Science job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,008 per year, or $52.9 per hour.
Data Engineer (AWS, Azure, GCP)

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Denver, CO • On-site

$117K - $141K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
Specific responsibilities for the Data Engineer - Cloud position include:
  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
  • Utilizing your skills in engineering best practices to solve complex data problems
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each

Qualifications
Typical experience for successful candidates includes:
  • Experience delivering solutions on a major cloud platform
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
  • Experience in the design and implementation of data architecture solutions
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.

Skills:
Successful candidates usually have demonstrable experience with technologies in some of these categories:
  • Languages: SQL, Python, Java, R, C# / C++ / C
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
  • DevOps: git, docker, subversion, Kubernetes, Jenkins
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $90,000 - $200,000.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Apply