Sr. Software Engineer - Big Data, Data Lake in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Software Engineer - Big Data, Data Lake based in the United States.

This is an exciting opportunity for an experienced software engineer to help shape the foundation of a next-generation data platform powering large-scale, data-intensive applications. In this role, you will design and build scalable data ingestion, transformation, and integration solutions using modern cloud-native technologies. Working at the intersection of data engineering and backend development, you will contribute to the architecture of a robust data lake ecosystem that supports APIs, analytics, machine learning initiatives, and customer-facing products. You'll collaborate closely with cross-functional teams while driving technical excellence across distributed systems, event-driven architectures, and high-volume data pipelines. The position offers significant ownership, technical influence, and the flexibility of a fully remote environment.

• Design, develop, and maintain scalable data lake architecture and cloud-native data platforms that support enterprise applications and analytics initiatives.
• Build and optimize high-volume data ingestion, transformation, and integration pipelines for structured and semi-structured data from multiple internal and external sources.
• Develop distributed backend systems, APIs, and event-driven services using modern programming languages and cloud technologies.
• Architect and implement reliable data workflows leveraging AWS-native services, serverless technologies, and orchestration frameworks.
• Collaborate with product, analytics, business intelligence, and engineering teams to translate business requirements into scalable technical solutions.
• Ensure data quality, integrity, governance, and security through effective monitoring, cleansing, validation, and anomaly detection processes.
• Design and maintain high-availability systems capable of supporting multi-tenant environments and large-scale workloads.
• Participate in on-call rotations, troubleshooting efforts, incident response activities, and operational excellence initiatives.
• Create technical documentation, architecture diagrams, and implementation plans that support long-term platform scalability and maintainability.
• Contribute to continuous improvement initiatives, cloud infrastructure optimization, deployment automation, and engineering best practices.

• 7–10 years of professional software engineering experience, preferably within data-rich applications, big data environments, or SaaS platforms.
• Strong expertise with AWS cloud services, including S3, Glue, Athena, Lake Formation, Lambda, Step Functions, API Gateway, Kinesis, and related technologies.
• Advanced experience designing and implementing large-scale data pipelines, ETL processes, and data lake architectures.
• Expert-level proficiency in Python and SQL for distributed systems, data engineering, and backend development.
• Strong experience building backend services and APIs using TypeScript and Node.js.
• Deep understanding of event-driven architectures, orchestration frameworks, asynchronous processing, and distributed systems design.
• Experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, Athena, or similar platforms.
• Knowledge of data quality frameworks, entity resolution, data cleansing, anomaly detection, and governance practices.
• Hands-on experience integrating cloud-based data platforms with reporting, analytics, and third-party business systems.
• Familiarity with CI/CD pipelines, infrastructure automation, serverless architectures, containerized services, and deployment best practices.
• Strong understanding of security principles related to data storage, API access, permissions, and cloud infrastructure.
• Excellent communication, documentation, collaboration, and problem-solving skills.
• Proven ability to lead technical initiatives while remaining highly hands-on with implementation and delivery.
• Experience supporting production environments and participating in on-call rotations.
• Exposure to AI-assisted development tools, machine learning workflows, or generative AI technologies is considered a plus.

• Competitive salary ranging from $120,000 to $150,000 annually.
• Fully remote work environment within approved U.S. locations.
• Comprehensive health, dental, and vision coverage for eligible employees.
• 401(k) plan with company matching contributions.
• Internet or mobile phone reimbursement subsidy.
• Generous paid time off program.
• Paid holidays, including additional cultural and heritage celebration days.
• Half-day Summer Fridays.
• Professional development and career growth opportunities.
• High-autonomy environment with meaningful ownership of technical decisions.
• Collaborative and supportive engineering culture focused on innovation and continuous learning.
• Inclusive workplace committed to diversity, equity, and belonging.