Sprout General Referrals-posted 3 months ago
$121,000 - $199,584/Yr
Full-time • Mid Level
1,001-5,000 employees

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. Sprout Social empowers businesses worldwide to harness the immense potential of social media in today’s digital-first world. Processing over one billion social messages daily, our platform delivers insights and actionable intelligence to more than 30,000 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 Sprout’s internal stakeholders—analytics, product, finance, sales, and beyond—to work with trustworthy, scalable, and reusable data. You’ll be helping build the pipelines, curated datasets, and data products that unlock value across the business and extend Sprout’s data-driven culture.

  • 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 pipelines—ensuring business-critical data is clean, structured, and usable.
  • 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.
  • 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 with cross-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.
  • 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 equipment—your 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 Grow@Sprout 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 Chicago’s Loop and downtown Seattle, for those who prefer an office setting.
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