Aws Data Services

Aws Data Services Engineer Jobs

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Today

Data Engineer II, AWS Analytics Engineering - FDT

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time Amazon Web Services Artificial Intelligence AWS

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Job Description

Amazon Development Center U.S., Inc. builds the AWS Analytics Engineering platform that powers analytics across AWS services. As a Data Engineer II, you will help design, build, and operate parts of the data platform, with ownership spanning data architecture, data contracts, ingestion flows, logical data models, and high-performing data pipelines. This role emphasizes data quality, security, scalability, and cost, backed by an environment that supports operational excellence and continuous improvement.

Location: Seattle, WA (onsite)

Compensation: USD 132,100 - 178,800 per yearly

Experience: Minimum 3 years

What you’ll do

Identify and resolve data quality issues in processing tools, then contribute improvements to pipeline design and best practices.
Build and optimize logical data models and data pipelines for complex datasets, keeping solutions testable, maintainable, and efficient while addressing security, scalability, and cost.
Make dataset-level technical trade-offs that balance short-term pragmatism with long-term sustainability.
Write high-quality, pragmatic and secure code that remains maintainable and flexible without over-engineering.
Ensure the work is understandable to engineers unfamiliar with the system and limit short-term workarounds to reduce incidental complexity.
Contribute to infrastructure decisions within the team’s data architecture and efficiently manage resources such as hardware, storage, query performance, and AWS infrastructure.
Solve difficult data modeling and integration problems, including combining multiple sources and enabling new analytical capabilities through dataset integration.
Proactively detect and resolve issues that could lead to data inconsistency or quality gaps.
Break down projects into manageable tasks delivered independently, collaborating with peers on shared dependencies and aligning on approaches through consensus-building.
Mentor peers, participate in hiring, and contribute to knowledge sharing.
Drive data engineering best practices including code quality, data certification, dependency management, and operational excellence.
Establish SLAs, automate manual processes, and improve self-service access to data.
Improve the platform through code reviews, design discussions, team planning, and operational reviews.
Participate in an on-call rotation and take ownership of operational health for systems you support by contributing to monitoring, alarming, runbooks, and incident resolution.

Minimum qualifications

5+ years of data engineering experience
3+ years developing and operating large-scale data structures for BI analytics using ETL/ELT
3+ years developing and operating large-scale BI analytics data structures using SQL
5+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
3+ years developing and operating large-scale BI analytics data structures using OLAP technologies and data modeling
Experience communicating with users, other technical teams, and management to collect requirements and describe data modeling decisions and data engineering strategy

Technologies you may work with

SQL, ETL, ELT
AWS EMR, AWS Glue, Amazon Redshift, Lake Formation
AI/ML, LLMs, Agentic Frameworks, autonomous agents, multi-agent orchestration, tool integration
Kinesis, FireHose, Lambda, IAM roles and permissions
Hadoop, Hive, Spark
Oracle, OLAP

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Preferred qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience with big data technologies including Hadoop, Hive, Spark, EMR
Experience working with Data & AI related technologies, including AI/ML, GenAI, analytics, databases, and/or storage
4+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures, and hands-on SQL coding
Experience operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets, or experience with the software development lifecycle

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4d ago

Senior Data Engineer

MyHealthTeam Redwood City, CA

Redwood City, CA

4d ago

$205k - $240k/yr Full time Senior Aws Data Services Big Data

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Job Description

MyHealthTeam is hiring a Senior Data Engineer (hybrid in Redwood City, CA) to take ownership of the data platform end-to-end. This role builds ingestion, transformation, storage, query, access, and the roadmap that enables other teams to move faster across product, analytics, and operations.

Core Responsibilities

Own the data platform end-to-end, including ingestion, transformation, storage, query, and access, and guide the platform roadmap as company data needs grow.
Design and evolve batch and streaming pipelines using PySpark/EMR, Kinesis, Lambda, and Step Functions; ingest data from Postgres, Salesforce, third-party vendors, and product event streams into an Iceberg-based lake.
Model the warehouse by designing SCD tables, event tables, and the data conventions used by engineers and analysts when introducing new data sources.
Collaborate with product, engineering, analytics, and operations stakeholders to scope data requests into reliable pipelines, and create documentation and internal tooling for self-serve enablement.
Own the security and compliance foundation for data systems, including audit logging, access control, and temporary-access workflows.
Optimize backend query performance at the intersection of data and product code, including read-replica routing, indexing, caching, and IO instrumentation in Java/Spring services.
Lead investigations and remediation when data infrastructure misbehaves, such as IOPS spikes, pipeline failures, schema drift, and late data, and implement durable fixes.
Use AI daily to accelerate pipeline scaffolding, schema work, and ad-hoc investigations, and ship internal AI tooling for other teams.
Mentor engineers and analysts on how to work effectively with the data platform.

Requirements

5+ years of experience building production data pipelines and platforms.
Deep proficiency in Python (PySpark) and SQL, including tuning Spark jobs at scale.
Comfort and capability working on surrounding services in the data layer ecosystem (Java, Spring Boot).
Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3).
Strong Postgres fundamentals, including query optimization, indexing, replication, replica routing, and assessing when the database is the bottleneck.
Experience with Iceberg and Trino, or similar technologies.
Comfort with CI/CD and Terraform.
Evidence of using AI in practice, including frontier models, agentic coding tools, or rapid experiments.
Track record of working cross-functionally with teams that may not share the same technical focus (for example, product and operations).

Technologies

PySpark, EMR, Kinesis, Lambda, Step Functions
Postgres, Salesforce, Iceberg, Trino, S3
Java, Spring Boot, CI/CD, Terraform
SQL

Role Overview

As a Senior Data Engineer, you will own MyHealthTeam’s data platform, the layer other teams rely on to understand the business, ship product features, and meet compliance obligations. The platform you build is intended to create long-term leverage across product, analytics, operations, and data science. This position sits at the intersection of production engineering and data engineering, with success measured by how much faster other teams can deliver because of your work.

Additional Notes

The role is open to Senior or Lead candidates; focus is on what you can build rather than current title.

Location and Compensation

Location: Redwood City, CA (hybrid)
Salary Range: USD 205,000 - 240,000 per year

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Data Engineer II, AWS Analytics Engineering - FDT

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