Sr. Data Engineer - High-Growth Tech Startup
Andiamo
•
Boston, MA
0
0
0
0
Not Applicable
Posted April 3, 2026
3 variants
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Design & Build Pipelines: Develop scalable ETL/ELT pipelines and streaming workflows that power data-driven products and analytics.
- Architect Data Systems: Build and optimize data lakes, warehouses, and real-time streaming infrastructure.
- Enable Analytics: Partner with data scientists and analysts to ensure high-quality, well-structured, and discoverable datasets.
- Ensure Reliability: Implement best practices for testing, monitoring, and observability across all data systems.
- Optimize Performance: Tune data infrastructure for speed, scale, and cost efficiency in cloud environments.
- Collaborate Cross-Functionally: Work with product and engineering teams to deliver data solutions that meet business and customer needs.
- Mentor & Elevate: Provide technical guidance to junior engineers and help shape engineering culture in a fast-growing startup.
Commitments
This is a rare chance to be part of a high-growth startup at a pivotal stage.
As a Senior Data Engineer, you will shape the foundation of our data platform, work with cutting-edge technologies, and have a direct impact on products used by global customers.
About Andiamo
Not Met Priorities
What still needs stronger evidence
Requirements
- Professional Experience: 5–8 years of data engineering experience, ideally in a high-growth or startup environment.
- Programming Skills: Strong proficiency in Python or Scala, with solid knowledge of SQL.
- Data Platforms: Hands-on experience with modern data warehouses (Snowflake, BigQuery, Redshift) and data lake technologies.
- Streaming & Orchestration: Familiarity with Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
- Cloud Expertise: Strong experience with cloud-native data services on AWS, GCP, or Azure.
- Data Modeling: Understanding of data modeling, governance, and performance optimization for large-scale systems.
- Startup Mindset: Comfort working in a fast-paced environment with shifting priorities and a strong sense of ownership.
Preferred Skills
- Streaming & Orchestration: Familiarity with Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
- Cloud Expertise: Strong experience with cloud-native data services on AWS, GCP, or Azure.
- Data Modeling: Understanding of data modeling, governance, and performance optimization for large-scale systems.
Education
- (Not required) – Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
Senior Data Engineer – High-Growth Tech Startup
About The Role
We are looking for a Senior Data Engineer to help build the next generation of data infrastructure at a $100M+ tech startup in the data management space. You will play a critical role in designing, building, and scaling systems that enable customers to manage, govern, and extract value from their data in real time.
This role is hands-on and high-impact: you will work closely with product managers, platform engineers, and data scientists to architect modern data pipelines and services. You will help shape the company’s data platform strategy, ensuring reliability, scalability, and performance as we grow rapidly and expand into new markets.
What You’ll Do
Design & Build Pipelines: Develop scalable ETL/ELT pipelines and streaming workflows that power data-driven products and analytics.
Architect Data Systems: Build and optimize data lakes, warehouses, and real-time streaming infrastructure.
Enable Analytics: Partner with data scientists and analysts to ensure high-quality, well-structured, and discoverable datasets.
Ensure Reliability: Implement best practices for testing, monitoring, and observability across all data systems.
Optimize Performance: Tune data infrastructure for speed, scale, and cost efficiency in cloud environments.
Collaborate Cross-Functionally: Work with product and engineering teams to deliver data solutions that meet business and customer needs.
Mentor & Elevate: Provide technical guidance to junior engineers and help shape engineering culture in a fast-growing startup.
What We’re Looking For
Professional Experience: 5–8 years of data engineering experience, ideally in a high-growth or startup environment.
Programming Skills: Strong proficiency in Python or Scala, with solid knowledge of SQL.
Data Platforms: Hands-on experience with modern data warehouses (Snowflake, BigQuery, Redshift) and data lake technologies.
Streaming & Orchestration: Familiarity with Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
Cloud Expertise: Strong experience with cloud-native data services on AWS, GCP, or Azure.
Data Modeling: Understanding of data modeling, governance, and performance optimization for large-scale systems.
Startup Mindset: Comfort working in a fast-paced environment with shifting priorities and a strong sense of ownership.
Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
Why Join
This is a rare chance to be part of a high-growth startup at a pivotal stage. As a Senior Data Engineer, you will shape the foundation of our data platform, work with cutting-edge technologies, and have a direct impact on products used by global customers. You’ll join a passionate, fast-moving team where your ideas are valued, your work is visible, and your growth is unlimited.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
About The Role
We are looking for a Senior Data Engineer to help build the next generation of data infrastructure at a $100M+ tech startup in the data management space. You will play a critical role in designing, building, and scaling systems that enable customers to manage, govern, and extract value from their data in real time.
This role is hands-on and high-impact: you will work closely with product managers, platform engineers, and data scientists to architect modern data pipelines and services. You will help shape the company’s data platform strategy, ensuring reliability, scalability, and performance as we grow rapidly and expand into new markets.
What You’ll Do
Design & Build Pipelines: Develop scalable ETL/ELT pipelines and streaming workflows that power data-driven products and analytics.
Architect Data Systems: Build and optimize data lakes, warehouses, and real-time streaming infrastructure.
Enable Analytics: Partner with data scientists and analysts to ensure high-quality, well-structured, and discoverable datasets.
Ensure Reliability: Implement best practices for testing, monitoring, and observability across all data systems.
Optimize Performance: Tune data infrastructure for speed, scale, and cost efficiency in cloud environments.
Collaborate Cross-Functionally: Work with product and engineering teams to deliver data solutions that meet business and customer needs.
Mentor & Elevate: Provide technical guidance to junior engineers and help shape engineering culture in a fast-growing startup.
What We’re Looking For
Professional Experience: 5–8 years of data engineering experience, ideally in a high-growth or startup environment.
Programming Skills: Strong proficiency in Python or Scala, with solid knowledge of SQL.
Data Platforms: Hands-on experience with modern data warehouses (Snowflake, BigQuery, Redshift) and data lake technologies.
Streaming & Orchestration: Familiarity with Kafka, Spark, Flink, Airflow, dbt, or similar frameworks.
Cloud Expertise: Strong experience with cloud-native data services on AWS, GCP, or Azure.
Data Modeling: Understanding of data modeling, governance, and performance optimization for large-scale systems.
Startup Mindset: Comfort working in a fast-paced environment with shifting priorities and a strong sense of ownership.
Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
Why Join
This is a rare chance to be part of a high-growth startup at a pivotal stage. As a Senior Data Engineer, you will shape the foundation of our data platform, work with cutting-edge technologies, and have a direct impact on products used by global customers. You’ll join a passionate, fast-moving team where your ideas are valued, your work is visible, and your growth is unlimited.
About Andiamo
Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.
For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com