Data Engineer

Sprout Social, Inc.

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States

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💰 $121,000 - $199,584 per year

JuniorMid-Level

AirflowAWSAzureCloudETLGoogle Cloud PlatformKafkaMySQLPostgresPythonSQLTableau

About the role

Design and maintain ETL/ELT pipelines and data workflows to enable reliable, timely, and scalable data flows
Collaborate with analysts, data 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 to ensure business-critical data is clean, structured, and usable
Deliver production-ready pipelines, datasets, or internal data products and take technical ownership over them
Participate in onboarding and mentoring activities and help shape the team’s roadmap and long-term data foundations strategy

2+ years of professional experience in data engineering or at least 2 years hands on building, deploying and maintaining production-grade data infrastructure and pipelines
Demonstrated proficiency in SQL (e.g. MySQL, PostgreSQL) and data modeling
Proficiency in Python
Experience working in relational and non-relational databases
Hands on experience with ELT and 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, CI/CD, documentation, and observability for data
Preferred: experience managing semantic layers and BI dashboards (e.g. Tableau, Hex, Looker)
Preferred: experience implementing data quality frameworks, testing methodologies, and monitoring practices
Preferred: hands-on experience with event-driven or streaming frameworks (Kafka or NSQ, Kinesis, Pub/Sub)
Preferred: direct experience with cloud infrastructure (AWS, GCP, or Azure) and implementing cost optimization strategies
Proven ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders