Statt Inc.
This range is provided by Statt . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$135,000.00/yr - $150,000.00/yr Additional compensation types
Stock options About the Company Statt is a global AI and big data SaaS platform focused on surfacing mission-critical insights for the public policy, regulatory affairs, and strategic communications sectors. Based in the Washington, DC and Austin, TX areas, Statt is dedicated to providing solutions that empower large companies, professional services firms, government agencies, and policy organizations to navigate complex legislative, regulatory, and geopolitical landscapes. Statt was co-founded by Steve Glickman, a former senior economic policy advisor in the Obama White House, and Andrew Platt, a former Maryland state representative. For more information, visit www.statt.com. About the Role We are seeking a Data Engineer with approximately three to five years of experience to join our growing team. This role is ideal for someone passionate about building reliable, scalable, and efficient data infrastructure that powers analytics, machine learning, and operational decision-making. You will work with a diverse set of data sources—including APIs and web scraping targets—to design and maintain high-quality ETL pipelines that deliver clean, usable datasets to downstream consumers. If you're skilled in Python, know how to scrape, parse, and structure data, and can manage orchestration in the cloud with a security-first mindset, we’d love to talk. Responsibilities Data Pipeline Development:
Design, implement, and maintain robust ETL pipelines using tools like Airflow or Prefect. Ensure reliability, idempotency, and high data quality across workflows. Data Storage & Modeling:
Manage data storage across formats (e.g., Parquet, JSON, Avro) and systems (e.g., Snowflake, BigQuery, Redshift). Design normalized and denormalized schemas to support both operational and analytical workloads. Cloud Infrastructure & DevOps:
Deploy and monitor pipelines using cloud platforms such as AWS, GCP, or Azure. Leverage containerization (Docker) and infrastructure-as-code tools like Terraform or CloudFormation for scalable and repeatable deployment. Workflow Orchestration:
Own and monitor workflow scheduling, dependencies, and failure recovery using orchestration frameworks. Proactively identify and resolve bottlenecks and system errors. Security & Compliance:
Implement best practices for handling sensitive data, including encryption, API key and credential management, and compliance with data privacy regulations such as GDPR and HIPAA. Version Control & CI/CD:
Use Git and CI/CD tools to version control code and deploy pipeline changes safely and efficiently with minimal downtime. Collaboration & Documentation:
Work closely with machine learning engineers and software developers to understand data needs. Create thorough documentation and communicate technical concepts clearly to both technical and non-technical stakeholders. Qualifications Experience:
Approximately three to five years of professional experience in data engineering or a closely related field. Programming:
Strong proficiency in Python (including pandas, requests, BeautifulSoup, lxml) or similar backend languages. Web Data Integration:
Hands-on experience with web scraping, API integration, and dealing with complex data ingestion challenges. ETL Expertise:
Demonstrated experience in designing end-to-end ETL pipelines, job orchestration, and ensuring data reliability and quality. Data Warehousing:
Proficiency in cloud data warehouses (Snowflake, BigQuery, Redshift) and file formats optimized for large-scale analytics. SQL Mastery:
Advanced SQL skills for data transformation, aggregation, and schema design (normalized and denormalized). Cloud & DevOps:
Practical experience with cloud platforms (AWS, GCP, or Azure), Docker, and infrastructure automation tools. Workflow Tools:
Familiarity with orchestration platforms such as Apache Airflow or Prefect. Security & Compliance:
Understanding of data protection regulations and secure handling of sensitive data. Version Control:
Experience with Git and CI/CD pipelines in a collaborative software development environment. Preferred Skills Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Certifications in relevant cloud services (AWS, GCP, Azure) or data platforms. Experience working in fast-paced startup environments. Pay range and compensation package Equity in line with company stage and role Comprehensive health, dental, and vision insurance Generous PTO and flexible work arrangements Opportunities for professional growth and development Collaborative and inclusive work environment with a passionate and talented team Equal Opportunity Statement Statt is committed to diversity and inclusivity in the workplace. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Statt by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Engineer jobs in
Austin, TX . Senior Data Engineer (San Antonio, Austin and Dallas)- Data Solutions
Austin, TX $112,100.00-$162,600.00 2 days ago Austin, TX $155,250.00-$174,273.00 2 weeks ago Austin, TX $128,600.00-$234,200.00 1 week ago Austin, TX $150,000.00-$200,000.00 4 days ago Austin, TX $139,100.00-$240,500.00 2 weeks ago Austin, TX $145,000.00-$204,000.00 2 weeks ago Austin, TX $173,000.00-$242,000.00 2 weeks ago Austin, TX $134,000.00-$205,000.00 2 days ago Senior Software Engineer, Data Engineering
Austin, TX $140,000.00-$180,000.00 2 weeks ago Austin, TX $55,100.00-$99,000.00 12 hours ago Austin, TX $160,000.00-$190,000.00 3 weeks ago Austin, TX $139,100.00-$240,500.00 1 week ago Austin, TX $110,000.00-$124,968.00 1 week ago Austin, TX $116,500.00-$180,500.00 1 week ago Austin, TX $100,000.00-$150,000.00 3 weeks ago Austin, TX $128,600.00-$234,200.00 2 weeks ago Austin, TX $160,000.00-$175,000.00 5 days ago Austin, TX $125,000.00-$150,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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$135,000.00/yr - $150,000.00/yr Additional compensation types
Stock options About the Company Statt is a global AI and big data SaaS platform focused on surfacing mission-critical insights for the public policy, regulatory affairs, and strategic communications sectors. Based in the Washington, DC and Austin, TX areas, Statt is dedicated to providing solutions that empower large companies, professional services firms, government agencies, and policy organizations to navigate complex legislative, regulatory, and geopolitical landscapes. Statt was co-founded by Steve Glickman, a former senior economic policy advisor in the Obama White House, and Andrew Platt, a former Maryland state representative. For more information, visit www.statt.com. About the Role We are seeking a Data Engineer with approximately three to five years of experience to join our growing team. This role is ideal for someone passionate about building reliable, scalable, and efficient data infrastructure that powers analytics, machine learning, and operational decision-making. You will work with a diverse set of data sources—including APIs and web scraping targets—to design and maintain high-quality ETL pipelines that deliver clean, usable datasets to downstream consumers. If you're skilled in Python, know how to scrape, parse, and structure data, and can manage orchestration in the cloud with a security-first mindset, we’d love to talk. Responsibilities Data Pipeline Development:
Design, implement, and maintain robust ETL pipelines using tools like Airflow or Prefect. Ensure reliability, idempotency, and high data quality across workflows. Data Storage & Modeling:
Manage data storage across formats (e.g., Parquet, JSON, Avro) and systems (e.g., Snowflake, BigQuery, Redshift). Design normalized and denormalized schemas to support both operational and analytical workloads. Cloud Infrastructure & DevOps:
Deploy and monitor pipelines using cloud platforms such as AWS, GCP, or Azure. Leverage containerization (Docker) and infrastructure-as-code tools like Terraform or CloudFormation for scalable and repeatable deployment. Workflow Orchestration:
Own and monitor workflow scheduling, dependencies, and failure recovery using orchestration frameworks. Proactively identify and resolve bottlenecks and system errors. Security & Compliance:
Implement best practices for handling sensitive data, including encryption, API key and credential management, and compliance with data privacy regulations such as GDPR and HIPAA. Version Control & CI/CD:
Use Git and CI/CD tools to version control code and deploy pipeline changes safely and efficiently with minimal downtime. Collaboration & Documentation:
Work closely with machine learning engineers and software developers to understand data needs. Create thorough documentation and communicate technical concepts clearly to both technical and non-technical stakeholders. Qualifications Experience:
Approximately three to five years of professional experience in data engineering or a closely related field. Programming:
Strong proficiency in Python (including pandas, requests, BeautifulSoup, lxml) or similar backend languages. Web Data Integration:
Hands-on experience with web scraping, API integration, and dealing with complex data ingestion challenges. ETL Expertise:
Demonstrated experience in designing end-to-end ETL pipelines, job orchestration, and ensuring data reliability and quality. Data Warehousing:
Proficiency in cloud data warehouses (Snowflake, BigQuery, Redshift) and file formats optimized for large-scale analytics. SQL Mastery:
Advanced SQL skills for data transformation, aggregation, and schema design (normalized and denormalized). Cloud & DevOps:
Practical experience with cloud platforms (AWS, GCP, or Azure), Docker, and infrastructure automation tools. Workflow Tools:
Familiarity with orchestration platforms such as Apache Airflow or Prefect. Security & Compliance:
Understanding of data protection regulations and secure handling of sensitive data. Version Control:
Experience with Git and CI/CD pipelines in a collaborative software development environment. Preferred Skills Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Certifications in relevant cloud services (AWS, GCP, Azure) or data platforms. Experience working in fast-paced startup environments. Pay range and compensation package Equity in line with company stage and role Comprehensive health, dental, and vision insurance Generous PTO and flexible work arrangements Opportunities for professional growth and development Collaborative and inclusive work environment with a passionate and talented team Equal Opportunity Statement Statt is committed to diversity and inclusivity in the workplace. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Statt by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Engineer jobs in
Austin, TX . Senior Data Engineer (San Antonio, Austin and Dallas)- Data Solutions
Austin, TX $112,100.00-$162,600.00 2 days ago Austin, TX $155,250.00-$174,273.00 2 weeks ago Austin, TX $128,600.00-$234,200.00 1 week ago Austin, TX $150,000.00-$200,000.00 4 days ago Austin, TX $139,100.00-$240,500.00 2 weeks ago Austin, TX $145,000.00-$204,000.00 2 weeks ago Austin, TX $173,000.00-$242,000.00 2 weeks ago Austin, TX $134,000.00-$205,000.00 2 days ago Senior Software Engineer, Data Engineering
Austin, TX $140,000.00-$180,000.00 2 weeks ago Austin, TX $55,100.00-$99,000.00 12 hours ago Austin, TX $160,000.00-$190,000.00 3 weeks ago Austin, TX $139,100.00-$240,500.00 1 week ago Austin, TX $110,000.00-$124,968.00 1 week ago Austin, TX $116,500.00-$180,500.00 1 week ago Austin, TX $100,000.00-$150,000.00 3 weeks ago Austin, TX $128,600.00-$234,200.00 2 weeks ago Austin, TX $160,000.00-$175,000.00 5 days ago Austin, TX $125,000.00-$150,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr