Data Engineer (AWS, Azure, GCP)
$119K - $143K/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 ...
$119K - $143K/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 ...
$119K - $143K/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 ...
Reston, VA · On-site
$119K - $143K/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 ...
Reston, VA · On-site
$119K - $143K/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 ...
$25.2K - $43.5K
13% of jobs
$43.5K - $61.7K
10% of jobs
$67K is the 25th percentile. Wages below this are outliers.
$61.7K - $80K
7% of jobs
$80K - $98.2K
8% of jobs
$98.2K - $116.5K
9% of jobs
The median wage is $120.1K / yr.
$116.5K - $134.7K
10% of jobs
$134.7K - $153K
9% of jobs
$165.8K is the 75th percentile. Wages above this are outliers.
$153K - $171.2K
10% of jobs
$171.2K - $189.5K
9% of jobs
$189.5K - $207.8K
8% of jobs
$207.8K - $226K
4% of jobs
$25.2K
$125.5K
$226K
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.
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.
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.
The most popular types of Spotify Data Science jobs in Washington, DC are:
For Spotify Data Science jobs in Washington, DC, the most frequently searched job titles are:
The top searched job categories for Spotify Data Science jobs in Washington, DC are:

$119K - $143K/yr
Full-time
Medical, Retirement, PTO
Re-posted 22 days ago
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 DescriptionCapTech 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:
Typical experience for successful candidates includes:
Skills:
Successful candidates usually have demonstrable experience with technologies in some of these categories:
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 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 Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. 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.
Sourced by ZipRecruiter
It services
501 - 1,000 Employees
Richmond, VA, US
1997