Senior Data Engineer

ChargerHelp-posted about 16 hours ago

Full-time • Mid Level

New York, NY

51-100 employees

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We are seeking a highly skilled and experienced Senior Data Engineer to spearhead ChargerHelp’s goal of using data as a strategic asset in improving EV charger reliability. The Senior Data Engineer will be responsible for architecting, implementing, and maintaining scalable and robust data infrastructure to power ChargerHelp’s reliability management software tools. This role requires strong technical acumen, excellent problem-solving and communication skills, and a passion for driving innovation in the EV charging industry. The ideal candidate will have a proven track record in designing, building, and maintaining high-quality, scalable data solutions, including pipelines and analytics services for both structured and unstructured data from diverse sources. They will be skilled in developing user-facing solutions for asset reliability management and collaborating with teams and customers to create effective metric datasets and dashboards. Additionally, the candidate will have experience building data quality checks and monitoring systems to ensure data integrity and reliability across platforms.

Design and implement data pipelines that process and integrate data from diverse sources (both internal and external).
Build analytics services to handle various data types and generate insights for internal teams and customers.
Develop and maintain data storage and management solutions that ensure data accessibility, security, and scalability.
Implement best practices for data flow optimization, including batch processing, streaming, and real-time data ingestion.
Collaborate with teams to ensure seamless integration between internal systems and external data providers.
Conduct regular data audits to identify and resolve bottlenecks or inefficiencies in the data flow.
Design data models that track and report on asset health, performance, and lifecycle.
Collaborate with stakeholders to define key data objects for asset reliability and ensure they align with business requirements.
Implement processes for collecting and analyzing asset performance data to drive decisions on maintenance and operational strategies.
Build and manage data quality checks that validate incoming data and ensure it meets predefined standards.
Develop automated monitoring systems to detect anomalies or issues in the data pipeline.
Establish regular data quality assessments and work with teams to remediate issues.
Design and implement user-facing dashboards and reports for key performance indicators (KPIs) related to asset reliability, performance, and maintenance.
Ensure that reports are interactive, user-friendly, and actionable for internal teams and external stakeholders.
Continuously iterate on reporting solutions based on user feedback and emerging business needs.
Collaborate with internal service delivery teams and customers to understand their data needs and provide tailored datasets and insights.
Create and maintain dashboards that allow teams to easily access and interpret critical data related to EV charging operations and maintenance.
Provide data consulting and support to help teams make informed decisions based on available metrics.
Immerse yourself in the EV charging industry and understand key challenges related to charging infrastructure and asset reliability.
Leverage your domain knowledge to prioritize data-related initiatives that have the most significant business impact.
Work closely with internal stakeholders to identify and act on opportunities to improve operational efficiency and reliability based on data insights.

Senior level experience (4+ years) in a data engineering role shipping production code
Deep experience with data engineering solution work. ChargerHelp’s data platform runs on Snowflake, DBT, and Python
Experience with ETL design, implementation, and maintenance
Experience building productive, high-performance software distributed on multiple cloud providers, including AWS
Experience with PostgreSQL, including understanding of database design, data structures, and distributed design patterns
Excellent problem-solving and analytical skills, with the ability to think creatively in a fast-moving, ambiguous environment
Operate with a high level of autonomy and accountability, collaborating with stakeholders to delegate effectively
Strong asynchronous communication, with the ability to work within a distributed team environment
Knowledge of agile development methodologies and security best practices
Demonstrated success with and passion for working with diverse teams, especially with team members from historically marginalized and excluded populations

Experience integrating with and working on products written with Ruby on Rails
Experience with real-time data processing

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