Top 96252 Software Engineer, Data Jobs

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Sr. Software Engineer - Big Data, Data Lake

Foureyes -
Remote

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Job Details

Full-time
$120,000 - $150,000 a year
13 days ago

Benefits

Paid holidays
Health insurance
Paid time off
401(k) matching

Qualifications

Function as a Service (FaaS)
Data integrity assurance
Commercial use (data warehousing systems)
Systems integration
Cloud analytics services
Software engineering
Data Integration (Data management)
Node.js
Cloud data warehouses
Data validation techniques
Amazon Simple Notification Service (SNS)
SQL
Event-driven architecture
Data Architecture Design (Architecture design skills)
Cloud security best practices implementation
Outlier detection
Data integrity process (data warehousing)
Integration architecture
AWS Glue
Developing and maintaining backend systems
Distributed computing
Real-time data processing implementation
TypeScript
System security
Python
Data analytics technologies
Database software proficiency

Full Job Description

Who We Are

Headquartered in Oregon, Foureyes® is a remote-first company with 90 employees in 21 states. We are privately owned and focused on the automotive vertical.

We believe human intellect paired with data-driven AI is the winning combination. It always has been. And we're on a mission to bring that winning combination to automotive dealerships with easy-to-love software.

We're a software company that thinks about people first. With every innovation, we seek to put humans back in the starring role.

If this sounds like the kind of company you want to be a part of, there’s good news. We’re hiring for a Sr. Software Engineer (Big Data, Data Lake).

The Position

We are seeking a senior engineer to help design and implement the core data platform powering our next-generation product architecture. This role will focus on building scalable data ingestion, transformation, and integration across multiple internal and external data sources, using AWS-native services. You will work closely with engineering leadership to establish a robust data lake and transformation layer that supports our APIs, microservices, and downstream analytics. The ideal candidate is comfortable working at the intersection of data engineering and application integration.

Qualifications

Key Professional Experience

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.

Core technical skills required

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
Strong proficiency with TypeScript and Node.js for building backend services (REST/JSON APIs, async workflows, integration with AWS services)
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.

Professional experience:

7-10 years of professional experience working in a software development environment, ideally with exposure to big data and data-rich applications.
Experience working across disciplines, partnering with BI, ML, and product teams to translate ideas into customer-facing features.
5+ years working in an AWS cloud-native environment.

Bonus points for:

Prior experience in data-rich SaaS products.
Experience with auth & access control for data-driven applications in a multitenant environment.
Familiarity with data governance concepts (lineage, permissions, quality checks).
Deployment experience (AWS CDK, CI/CD, containerized services, serverless functions).
Exposure to generative AI or LLM-based data exploration tools.
Comfortable operating in an AI-first engineering organization where planning, design, implementation, testing, and documentation are frequently augmented by agentic engineering tools such as Spec Kit, Claude Code, Cursor, GitHub Copilot, and similar platforms.

Location: This position is remote. We are hiring in the following states. OR, WA, CA, FL, ID, IA, KY, MD, MA, MI, MN, NV, NJ, OH, PA, TN, TX, AZ, IL, CO, and NH.

Salary Range: $120,000 - $150,000

Why Foureyes?

Competitive salary and health benefits for eligible full time employees.
401k matching, and a subsidy for internet or cell phone.
Generous PTO days, in addition to paid holidays that incorporate two days to honor and celebrate your heritage, culture, or traditions that matter most - just tell us when!
Half Day Summer Fridays!
A company actively working to dismantle bias in our hiring practices, foster cultural inclusivity, and continuously examine policies and practices to ensure equity. We recognize and believe that diversity, equity, and inclusion constantly make us better.
A fast-paced, team-driven culture that helps you grow your career with learning opportunities, autonomy and ownership, and chances to succeed (or fail- hey, we’ve all learned through failure).

Diversity, Equity & Inclusion

At Foureyes, we believe your ability to build, think creatively, and solve problems is best accessed when you have the freedom to be yourself. Inclusion is not a nice-to-have; it is a must-have. The bedrock of an inclusive culture is our ability to celebrate and harness the unique perspectives our diversity provides in the building process. While an org structure exists to provide clarity around how ideas get communicated, we are all equal as coworkers, and we are committed to careful and continued introspection around how to best be an equitable, fair, and inclusive workplace that celebrates you for being you.

Equal Opportunity

As an Equal Opportunity Employer, Foureyes is dedicated to providing a diverse and inclusive workplace, which includes unbiased recruiting, hiring, and employment practices. Applicants and employees are treated with respect, and provided opportunities – free of discrimination of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital or parenting status.

Sponsorship

Foureyes is not currently sponsoring work visas for this role. Authorization to work in the U.S. is required to be considered.

PI285497204

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