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Foureyes · 4 weeks ago

Sr. Software Engineer (Big Data, Data Lake)

United States

Full-time

Remote

Senior Level

$125K/yr - $150K/yr

7+ years exp

Foureyes is a remote-first company focused on the automotive vertical, seeking a Sr. Software Engineer to design and implement their core data platform. The role involves building scalable data ingestion and integration across various data sources using AWS services, while collaborating with cross-functional teams to ensure data availability and performance.

AnalyticsArtificial Intelligence (AI)SaaSSales AutomationSoftware

Culture & Values

No H1B

Responsibilities

Strong leadership skills - you are comfortable both leading software engineers and rolling up your sleeves to implement and deploy the best solution

Strong cross-functional collaboration with product, engineering, and analytics teams to ensure data availability, reliability, and performance

Strong communication skills and experience translating business requirements into system design, architecture diagrams, and technical documentation

Strong communication presenting complex concepts or solutions to diverse audiences through clear and concise written communication (e.g., report writing, email crafting) and effective verbal communication (e.g., presentations, stakeholder updates)

Strong problem solving skills and knowledge of applied algorithms to solve real world problems efficiently

You have operated in a team’s on-call rotation to address complex problems in real-time and keep services operational and highly available

Strong hands-on experience implementing and using AWS data services: S3, Glue (ETL/Jobs, Data Catalog, DataBrew), Athena, Lake Formation, Step Functions, Lambda, Kinesis Data Stream and API Gateway

Expertise in designing and optimizing data pipelines for high-volume, multi-source ingestion of structured and semi-structured data in a multi-tenant data architecture

Experience with entity resolution, data cleansing, data quality, and anomaly detection

Expert level skills developing back-end distributed systems and data pipelines using Python, SQL, Step Functions, Lambdas

Comfort working with cloud data warehouses (Athena, Snowflake, Redshift, BigQuery, or similar)

Experience building event-driven and notification systems (SNS/SQS, EventBridge, Pub/Sub, webhooks) and orchestration frameworks (StepFunctions or equivalent)

Experience integrating AWS data pipelines with external platforms (e.g., Snowflake, Metabase, reporting tools, etc.)

Hands on experience applying security best practices for data storage, transfer, and API access

Qualification

AWS data servicesData pipeline designPythonCloud data warehousesData cleansingEvent-driven systemsData governanceLeadership skillsCross-functional collaborationCommunication skillsProblem solving

Required

Strong leadership skills - you are comfortable both leading software engineers and rolling up your sleeves to implement and deploy the best solution

Strong cross-functional collaboration with product, engineering, and analytics teams to ensure data availability, reliability, and performance

Strong communication skills and experience translating business requirements into system design, architecture diagrams, and technical documentation

Strong problem solving skills and knowledge of applied algorithms to solve real world problems efficiently

You have operated in a team's on-call rotation to address complex problems in real-time and keep services operational and highly available