Data Engineer, TigerData
+ Stock options for eligible roles
Building the new standard for data infrastructure, built on PostgreSQL, designed for the future
Be an early applicant
Building the new standard for data infrastructure, built on PostgreSQL, designed for the future
101-200 employees
Be an early applicant
+ Stock options for eligible roles
101-200 employees
Company mission
TigerData is the fastest PostgreSQL platform for real-time, analytical, and agentic applications.
Role
Who you are
- 4+ years of proven experience as a Data Engineer, Analytics Engineer, or similar role, with significant experience building and maintaining production data pipelines
- Expert proficiency in SQL for complex data transformations, performance optimization, and working with large datasets. Strong PostgreSQL experience is highly preferred
- Proficiency in Python or another programming language for data pipeline development, automation, and scripting
- Experience with modern data stack tools such as dbt, Airflow, Dagster, or similar orchestration and transformation frameworks
- Strong experience with cloud data platforms (AWS Redshift/RDS, Google BigQuery/Cloud SQL, Azure Synapse, or Snowflake) and their associated data services
- Understanding of data modeling concepts, dimensional modeling, and database design principles for both OLTP and OLAP systems
- Experience with data visualization and BI tools (Metabase, Tableau, Looker) and building data marts for analytical consumption
- Strong understanding of data governance, security, and privacy principles, including experience with data lineage and cataloging tools
- Excellent problem-solving skills with ability to troubleshoot complex data issues, optimize performance bottlenecks, and scale systems efficiently
- Experience working in agile, cross-functional teams with strong communication skills for collaborating with both technical and non-technical stakeholders
- Understanding of software engineering best practices including version control, testing, code reviews, and CI/CD pipelines
- Experience with time-series databases, developer tooling, or data infrastructure products is a significant advantage
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field, or equivalent practical experience
What the job involves
- TigerData is looking for a skilled and innovative Data Engineer with expertise in building scalable data infrastructure and a passion for enabling data-driven decision making across the organization
- You will play a crucial role in designing, building, and maintaining the data systems that power our analytics, product insights, and business intelligence initiatives for Timescale, our open-source database for real-time analytics and time series at scale
- Data Engineers at Timescale are essential for ensuring our teams have reliable, accurate, and accessible data to make informed decisions
- You'll design and implement robust ETL/ELT processes, manage data infrastructure, optimize database performance, and collaborate closely with Product, Finance, Engineering, and Leadership teams to enable self-service analytics and data democratization
- Design, build, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and deliver data from various sources including application databases, event streams, and third-party APIs
- Architect and optimize data warehouse solutions, ensuring efficient storage, retrieval, and processing of large-scale time-series and analytical datasets
- Implement and maintain data quality frameworks, monitoring systems, and alerting mechanisms to ensure data accuracy, completeness, and reliability across all data systems
- Collaborate with Product Managers, Marketing, Finance, and Sales to understand data requirements and build infrastructure that enables self-service analytics and advanced data exploration
- Optimize database performance, including query optimization, indexing strategies, and capacity planning for both operational and analytical workloads
- Build and maintain data infrastructure using cloud platforms (AWS, GCP, Azure) and modern data stack tools, ensuring scalability, security, and cost-effectiveness
- Develop and maintain data documentation, schemas, and governance processes to ensure data discoverability and proper usage across teams
- Work closely with Engineering teams to implement event tracking, logging, and instrumentation that captures meaningful product and user behavior data
- Support real-time data processing requirements and streaming analytics use cases, leveraging Timescale's time-series capabilities
- Champion data engineering best practices, including version control, testing, monitoring, and CI/CD for data pipelines
Application process
- We respond to every applicant
- We review applications fairly and objectively, and shortlist based on relevant skills and experience
- We ensure clear and timely communication throughout your candidate journey
- We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization
Our take
Timescale helps developers and businesses manage and analyze big data sets that power large-scale operations. It offers this through its own open-source time-series SQL database which, unlike many competitors, is built with PostgreSQL.
The product’s broad client applications include finance, logistics, and space. It serves hundreds of customers, with tens of thousands of other organizations using the TimescaleDB platform in the community (including companies like IBM, Microsoft, Pfizer, and Samsung, among others.)
Timescale has also landed substantial funding, becoming a Unicorn back in 2022. This all signifies the value that Timescale's platform provides. The company continues to grow, investing across product, engineering, and R&D, as well as broadening its efforts in serving the Timescale community.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2022
$110m
SERIES C
May 2021
$40m
SERIES B
Total funding: $184.8m
Company benefits
- Flexible PTO & family leave
- Professional development & educational benefits
- Summer Fridays off in August
- Fully remote work from anywhere
- Stock options
- Monthly WiFi stipend
- FSA/Dependent FSA plans
- 401(k) retirement plan
- Premium insurance options for you and your family
Company HQ
Midtown East, New York, NY
Leadership
Ajay Kulkarni
(Co-Founder & CEO)Previous CEO and Co-Founder of computer software company Sensobi, and worked in product at GroupMe/Skyprosoft.
Michael Freedman
(Co-Founder & CTO)Previous Research Assistant at multiple universities, including Berkeley and Stanford University. Co-founded Illuminics Systems, which was later acquired by Neustar. Current Advisor to Blockstack and Professor of Computer Science at Princeton University.
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