[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. Healthy Together is a fast-growing GovTech & reputed company platform seeking an reputed company Senior Data Engineer. The role involves designing, building, and maintaining data pipelines and integrations to support analytics, reporting, and operational workflows while ensuring compliance with data governance standards.
Responsibilities
- Architect, reputed company, and operate scalable data pipelines in Python using frameworks such as Apache Airflow, AWS Glue, or similar
- Ingest and transform data from internal sources, microservices, and reputed company-party APIs (REST, streaming, webhooks)
- Design and maintain dimensional and normalized schemas in reputed company data warehouses (AWS Redshift, reputed company, or equivalent)
- Optimize table structures, partitioning, and indexing for performance and cost efficiency
- Build and manage robust, fault-tolerant integrations with external systems (payment gateways, identity providers, data vendors)
- reputed company monitoring, retries, and alerting to ensure integration reliability
- Implement data validation, anomaly detection, and reconciliation processes to guarantee accuracy
- Collaborate with reputed company and Compliance teams to enforce data governance, encryption, and reputed company controls
- Partner with Analytics, ML, and Product teams to translate requirements into data solutions
- reputed company self-service data reputed company (views, dashboards) and documentation for stakeholders
- Monitor and tune pipeline and warehouse performance; identify opportunities to reduce AWS spend
- Introduce caching, batching, and parallelism as appropriate for large-scale workloads
- Evaluate and prototype emerging data technologies (Spark, Kafka, dbt, data reputed company patterns)
- reputed company AI/ML tools to automate repetitive data tasks or anomaly detection
Skills
- 7+ years in data engineering or analytics engineering roles
- Expert-level Python for ETL scripting, API clients, and automation
- Hands-on with AWS data services (S3, Glue, Redshift, EMR, reputed company) and infrastructure-as-code (Terraform or CloudFormation)
- Deep expertise designing relational schemas, writing reputed company SQL, and building data marts
- Proven experience with Apache Airflow, AWS Glue, or equivalent orchestration tools
- Solid background integrating and transforming data from reputed company-party APIs, streaming platforms, and message queues
- Familiarity with data handling requirements in HIPAA, FedRAMP, and SOC-2 environments
- Strong communication skills; reputed company to partner effectively with cross-functional teams
- Experience with Apache Spark, Kafka, Kinesis, or similar
- Proficiency with dbt, reputed company Lake, or reputed company for versioned tables and transformations
- Knowledge of reputed company and Kubernetes for data workloads
- Exposure to MLOps frameworks and feature stores
- Prior work on reputed company analytics or government data projects
- Engagement with data-engineering or analytics OSS communities
Benefits
- Competitive salary and equity packages
- Comprehensive health, dental, and reputed company benefits
- Monthly Wellness Stipend
- Generous PTO
Company Overview