AI Staff Engineer (Addison, TX)

TEKsystems•Addison, TX

6d•$175,000 - $200,000•Onsite

About The Position

The AI Staff Engineer will own the architecture and evolution of the data platform across transactional, streaming, and analytical systems. The role designs and operates scalable AWS data systems, including Aurora PostgreSQL, Redis, and event-driven pipelines, and builds data flows between operational systems and analytics platforms such as Snowflake, observability tools, and product analytics tools. It ensures data integrity, consistency, and availability across distributed systems, and supports high-throughput, low-latency real-time and near-real-time processing. The engineer establishes data modeling standards, governance practices, and access patterns; improves data observability, monitoring, and incident response; and partners with DevOps, product, and business teams to translate data needs into scalable technical solutions. The role leads complex initiatives such as cross-system data correlation, unified event models, and cross-platform insights; resolves bottlenecks, scaling challenges, and data quality issues; and mentors engineers. The core technology ecosystem includes AWS Aurora PostgreSQL, Redis, Flyway or Liquibase, AWS Kinesis or Apache Kafka, Python, Snowflake, dbt, Apache Airflow or Dagster, monitoring and data quality tools, Terraform, and automated delivery systems. The position is permanent and fully onsite in Addison, Texas. The anticipated pay range is $175,000–$200,000 per year, with individual compensation dependent on factors including qualifications, skills, relevant experience, job knowledge, geographic location, and internal equity.

Requirements

Expert-level experience.
Skills listed include Python, AWS, Snowflake, Airflow, RAGs, MLOps, and AWS Bedrock.
Experience with scalable data systems and transactional, streaming, and analytical platforms.
Knowledge of AWS Aurora PostgreSQL, Redis, and event-driven data pipelines.
Knowledge of data integrity, distributed systems, high-throughput processing, and low-latency use cases.
Knowledge of data observability, monitoring, data quality, and incident response.
Position is fully onsite in Addison, Texas.

Nice To Haves

Debezium for change data capture.
Go (Golang) or Scala for performance-oriented microservices.
Dagster or Prefect for pipeline orchestration.
MLflow or Feast for MLOps feature stores.
Immuta for PII data masking.
Great Expectations or Soda for data-quality testing.

Responsibilities

Own the architecture and evolution of the data platform across transactional, streaming, and analytical systems.
Design and operate scalable AWS data systems, including Aurora PostgreSQL, Redis, and event-driven pipelines.
Build and optimize data flows between operational systems and analytics platforms, including Snowflake, observability tools, and product analytics tools.
Ensure data integrity, consistency, and availability across distributed systems.
Design high-throughput, low-latency data processing for real-time and near-real-time use cases.
Establish data modeling standards, governance practices, and access patterns across the organization.
Improve data observability, monitoring, and incident response.
Partner with DevOps, product, and business teams to turn data needs into scalable technical solutions.
Lead complex initiatives such as data correlation across systems, unified event models, and cross-platform insights.
Identify and resolve bottlenecks, scaling challenges, and data quality issues.
Mentor engineers and elevate data engineering practices across the organization.
Operate transactional data systems using practices such as PL/pgSQL, connection pooling optimization, partition schema design, vacuum tuning, and index strategy optimization.
Manage streaming and event-driven systems, including partitioning, offset tracking, consumer lag remediation, schema registry integration, and message serialization and deserialization.
Build Python automation scripts and microservices, using concurrency modules, API integrations, and unit-testing suites.
Develop and optimize Snowflake analytical workloads, data transformations, and dimensional models.
Orchestrate cross-system dependencies and workflow execution using DAG-based tools.
Create monitoring and data-quality metrics, alerting, anomaly detection triggers, and telemetry ingestion logs.
Use Terraform to manage cloud infrastructure and deploy data architecture.
Design automated delivery systems with semantic release pipelines, multi-environment infrastructure tracking, and linting checkpoints.

Benefits

Unlimited paid time off for exempt employees.
One paid volunteer day of your choice.
Competitive bonus structure for eligible roles.
Team member stock purchase plan.
Health savings or flexible spending account options.
401(k) matching: dollar-for-dollar on the first 3% and 50 cents on the dollar for the next 2% of team member contributions, up to 5% of eligible compensation.
Comprehensive medical, dental, and vision benefits.
Basic life and AD&D insurance provided.
Pet insurance.
Education assistance.
Wellness reimbursement program.
Paid maternity and paternity leave.