Data Engineer

Sprout Social is looking for a Data Engineer to join our Data Foundations team. This team builds the internal data infrastructure pipelines and products that empower analytics data science and business stakeholders across Sprout. While our software engineers are focused on delivering customer-facing platform features our data engineers specialize in ensuring data is reliable well-modeled and accessible to fuel smarter decisions and internal innovation.

Why join Sprout Socials Data Engineering team

Sprout Social empowers businesses worldwide to harness the immense potential of social media in todays digital-first world. Processing over one billion social messages daily our platform delivers insights and actionable intelligence to more than 30000 brands. These insights guide strategic decisions drive growth and foster deeper connections with customers.

Our Data Foundations team plays a critical role in this by enabling Sprouts internal stakeholdersanalytics product finance sales and beyondto work with trustworthy scalable and reusable data. Youll be helping build the pipelines curated datasets and data products that unlock value across the business and extend Sprouts data-driven culture.

What youll do

• Design and maintain ETL/ELT pipelines and data workflows that enable reliable timely and scalable data flows.
• Collaborate with analysts scientists and business stakeholders to deliver curated datasets and internal data products.
• Implement best practices in schema design data modeling and metadata management.
• Own and evolve internal data infrastructure for quality monitoring and discoverability.
• Partner with software engineering teams where application data intersects with internal pipelinesensuring business-critical data is clean structured and usable.

What youll bring

Were looking for a data engineer with a strong foundation in data infrastructure and a passion for enabling others to succeed through high-quality data.

The minimum qualifications for this role include:

• 2 years of professional experience in data engineering or at least 2 years of hands on experience building deploying and maintaining production-grade data infrastructure and pipelines
• Demonstrated proficiency in SQL (e.g. MySQL PostgreSQL) and data modeling; with experience in a variety of business domains. Proficiency in Python.
• Experience working in relational and non-relational databases
• Hands on experience with ELT transformation frameworks (e.g. dbt) and with orchestrators (e.g. Airflow dbt. dagster).
• Experience building internal data products (curated datasets semantic layers or reusable modeling frameworks).
• Proven experience applying standard software development practice to data engineering including testing version control code reviews incident management incident CI/CD documentation and observability for data.

Preferred qualifications for this role include:

• Experience building and maintaining data infrastructure using transformations with dbt or similar tools(and managing semantic layers for Business intelligence (BI) dashboards (e.g. Tableau Hex Looker).
• Experience implementing data quality frameworks testing methodologies and monitoring practices to ensure data integrity.
• Hands-on experience with event-driven or streaming frameworks (Kafka or NSQ Kinesis Pub/Sub).
• Proven ability to collaborate withcross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.
• Direct experience with cloud infrastructure (AWS GCP or Azure) and implementing cost optimization strategies for data platforms.

How youll grow

Within 1 month youll plant your roots including:

• Complete Sprouts New Hire onboarding program and meet peers across Data Foundations Data Science Engineering.
• Learn the teams existing data stack pipelines and modeling frameworks.
• Shadow teammates to understand how internal stakeholders use curated datasets today.
• Partner with your manager to scope your first pipeline or modeling task to own.

Within 3 months youll start hitting your stride by:

• Delivering your first production-ready pipeline dataset or internal data product.
• Collaborating with analysts and data scientists on requirements for reusable modeling layers.
• Gaining deeper familiarity with Sprouts data warehouse(s) and orchestration environmentand starting to suggest improvements.

Within 12 months youll make this role your own by:

• Taking technical ownership of a set of pipelines or data products relied on by stakeholders across the business.
• Proposing and implementing improvements to our pipelines for scalability reliability or cost efficiency.
• Acting as a mentor to newer members of the Data Foundations team while continuing to grow your own expertise.
• Helping shape the teams roadmap and long-term data foundations strategy.

Of course what is outlined above is the ideal timeline but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager.

Our Benefits Program

Were proud to regularly be recognized for our team product and culture. Our benefits program includes:

• Insurance and benefit options that are built for both individuals and families

• Progressive policies to support work/life balance like our flexible paid time off and parental leave program

• High-quality and well-maintained equipmentyour computer will never prevent you from doing your best

• Wellness initiatives to ensure both health and mental well-being of our team

• Ongoing education and development opportunities via our program and employee-led diversity equity and inclusion initiatives.

• Growing corporate social responsibility program that is driven by the involvement and passion of our team members

• Beautiful convenient and state-of-the-art offices in Chicagos Loop and downtown Seattle for those who prefer an office setting

Whenever possible Sprout wants to provide our team with the flexibility to work in the location that makes the most sense for them. Sprout maintains a remote workforce in many places in the United States. However we are not set up in all states so please look at the drop-down box in our application to see whether your state is listed. Few roles require an office setting. If your position requires a physical presence in a Sprout office it will be evident in the job listing and your offer letter.

Individual base pay is based on various factors including work location relevant experience and skills the responsibility of the role and job duties/ the United States we have two geographic pay zones. You can confirm the pay zone for your specific location with your recruiter during your interview process. For this role our current base pay ranges for new hires in each zone are:

• Zone 1 (New York California Washington): $133056 (min) $166320 (mid) $199584 (max) USD annually
  
  
• Zone 2 (All other US states): $121000 (min) $151200 (mid) $181400 (max) USD annually

The listed ranges represent the full earning potential in this position. Starting salaries for well-qualified new hires are typically around the midpoint of the range. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable consistent and competitive ranges. We also evaluate compensation bi-annually identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employees total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprouts equity plan. Employees (and their dependents) are covered by medical dental vision basic life accidental death and dismemberment insurance and Modern Health (a wellness benefit). Employees are able to enroll in Sprouts companys 401k plan in which Sprout will match 50% of your contributions up to 6% with a maximum contribution. Sprout offers Flexible Paid Time Off and ten paid holidays. We have outlined the various components to an employees full compensation package here to help you to understand our total rewards package.

Sprout Social is proud to be an Equal Opportunity Employer and an Affirmative Action Employer. We do not discriminate based on identity- race color religion national origin or ancestry sex (including sexual identity) age physical or mental disability pregnancy veteran or military status unfavorable discharge from military service genetic information sexual orientation marital status order of protection status citizenship status arrest record or expunged or sealed convictions or any other legally recognized protected basis under federal state or local law. Learn more about our commitment to diversity equity and inclusion in our latest DEI Report.

If you require a reasonable accommodation for any part of the interview process or to submit your application please email us at Include the nature of your request and your preferred contact information. Well do everything we can to support your success during our recruitment process while upholding your privacy. Please note that only inquiries regarding accommodations will receive a response from this email address; other inquiries will not be addressed (e.g. you send your resume but are not requesting an accommodation).

For more information about our commitment to equal employment opportunity please click here (1) Equal Opportunity Employment Poster (2) Sprout Socials Affirmative Action Statement (3) Pay Transparency Statement.

Additionally Sprout Social participates in the E-Verify program in certain locations as required by law.

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