Senior Technical Data Engineer

Summary

Join Bainbridge, a leading financial services firm, as a Sr. Technical Data Engineer for a contract position (6-18 months, potential extension). This remote role, based in India, requires 2-3 hours daily overlap with US business hours. You will design, build, and maintain critical data infrastructure components, optimizing data pipelines and ensuring data quality. This pivotal role offers the chance to shape data systems powering company decision-making and product innovation within the fintech arena. The ideal candidate will have 5+ years of experience and a Master's degree in a related field. Compensation is ₹2.5-₹3.5L/month (benefits excluded).

Requirements

• Master’s degree in Computer Science, Engineering, Data Science, or a related field
• 5+ years of experience as a Data Engineer or in a similar role
• Proficient in SQL and at least one programming language (e.g., Python)
• Experience with data pipeline tools (e.g., Airflow, dbt, Apache Beam, etc.)
• Familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Experience with frameworks like BeautifulSoup, Scrapy, or Selenium
• Knowledge of A/B testing frameworks and visualization tools (e.g., Tableau, Power BI)
• Strong problem-solving skills and the ability to work in a fast-paced environment
• Must be able to manage time and deliverables independently

Responsibilities

• Gain a comprehensive understanding of current data sources, pipelines, and storage systems
• Design, build, and maintain scalable ETL/ELT pipelines to automate the movement of data from diverse sources to a centralized data warehouse
• Optimize data pipelines for performance, reliability, and maintainability
• Ensure data is validated, transformed, and stored in formats that meet analytical needs
• Analyze existing data origin sources (internal databases, third-party APIs, web-based systems) to assess structure, quality, and reliability
• Define and document data architecture, recommending improvements to support current and future data needs
• Collaborate with stakeholders to align technical solutions with business requirements
• Apply data wrangling techniques to prepare raw data for analysis, including handling missing values, data deduplication, and schema standardization
• Ensure data integrity and implement logging, alerting, and monitoring for all data workflows
• Partner with Data Analysts and business Stakeholders to support A/B testing frameworks and provide infrastructure for running experiments
• Enable self-service reporting and analysis by ensuring well-documented, accessible datasets
• Assist in the development of dashboards and reports using tools like Tableau or Power BI
• Support the data team in presenting key metrics and insights in a visually compelling way
• Continuously identify and integrate new data sources—internal or external—to enhance business insights and competitive edge
• Deploy systems to monitor data quality, pipeline health, and job failures proactively
• Design and implement automated pipelines to ingest and process data from key sources
• Ensure data is clean, validated, and ready for use by analysts and stakeholders
• Document existing workflows and identify quick wins for optimization
• Take initiative and ownership of projects from concept to deployment, demonstrating a builder's mindset

Preferred Qualifications

Experience in an entrepreneurial or start up environment preferred