Data Engineer

Agero, Inc.; United States; Remote; USD 97,000 - 140,000; Full time

Job summary

A leading company in driver assistance services is seeking a Data Engineer to design and maintain data infrastructure. This role involves optimizing data processes, ensuring quality, and developing scalable models. Join a dynamic team to drive data-driven decisions and support analytics and machine learning initiatives.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance

Mental Health Support

401(k)

Tuition Assistance

Flexible Time Off

Paid Holidays

Qualifications

• 3+ years experience with a Bachelor's or 2-5+ years with a Master's in a technical field.
• Strong communication and collaboration skills.

Responsibilities

• Develop and maintain ETL/ELT pipelines using orchestration tools.
• Monitor and optimize cloud costs and data quality frameworks.
• Collaborate with data teams and stakeholders, documenting processes.

Skills

Python

SQL

Data Modeling

Communication

Collaboration

Education

Bachelor's degree

Master's degree

Tools

Snowflake

ETL/ELT tools

FastAPI

Flask

DBT

Spark

Airflow

Databricks

Redshift

Job description

About Agero:
Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through passionate people and data-driven technology, strengthening client relationships. As the #1 B2B, white-label provider of digital driver assistance services, we are transforming manual processes into digital, transparent, and connected solutions, including dispatch management, accident services, consumer affairs, connected vehicle capabilities, and a marketplace of services. We partner with leading automobile manufacturers, insurance carriers, and manage a network responding to approximately 12 million service events annually. Headquartered in Medford, Mass., with operations across North America, learn more at https://www.agero.com/.

Role Description & Mission:

We seek a passionate Data Engineer to design, build, and maintain our core data infrastructure supporting analytics, machine learning, and data science. You will optimize data processes, ensure data quality, and develop scalable data models to enable data-driven decisions. Success requires a strong technical background, collaboration skills, and innovative solutions.

Key Outcomes:

1. Data Pipelines: Develop and maintain ETL/ELT pipelines from various sources, using orchestration tools like Airflow, Snowflake Tasks, Dagster, Mage.
2. Cloud Cost Optimization: Monitor and optimize cloud costs, perform query optimization in Snowflake to reduce costs and improve performance.
3. Data Foundations: Develop data lakes and warehouses (Snowflake, Databricks, Redshift), aligning with business needs and SLAs.
4. Data Modeling & Transformation: Use dimensional modeling techniques, develop transformations with DBT, Spark, and explore emerging approaches like data mesh.
5. Coding: Write scalable Python, PySpark, SQL code; develop APIs with FastAPI or Flask; create data dashboards with Streamlit, Dash, Plotly, or React.
6. Data Quality Control: Implement data governance, quality frameworks, observability solutions, and define SLAs/SLOs.
7. Teamwork: Collaborate with data teams and stakeholders, follow best practices in version control and CI/CD, document processes.

Skills, Education & Experience:

Education & Experience: Bachelor's degree + 3+ years or Master's + 2-5+ years in a technical field.

Technical Skills (Essential): Experience with Snowflake, ETL/ELT tools, Python, SQL, data modeling, query optimization, data quality frameworks, AWS services, API development, version control, CI/CD.

Soft Skills: Strong communication, collaboration, and independent work skills.

Bonus Skills: Data streaming, Agile, IaC, emerging data tech like Delta Lake, Iceberg, Hudi.

Hiring in: US states including AZ, CA, FL, IL, KY, MA, MI, NM, NH, TN, GA, NC, VA.

Meet the hiring manager: Gopichand Vemulapalli, Senior Manager Data Engineering.

The salary range is $97,482 - $140,000, based on location, experience, and skills. Total compensation includes other benefits.

Life at Agero: We value diversity, growth opportunities, and open communication. Join us to drive the future of driver assistance and thrive in a supportive environment.

Benefits: Health, dental, vision, disability, life insurance, mental health, 401(k), tuition assistance, flexible time off, paid holidays, parental benefits, bonuses, and more.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting