Senior-Level Software Engineer/Mid-level Software Engineer - W2 Requirement

Job Title: Senior-Level Software Engineer – W2 Requirement

Location: Rockville, MD or Tysons Corner, VA (3 days onsite & 2 days remote per week)

Duration: 6-month base contract; long-term extensions (part of a 2+ year project)

Work Authorization: Any

Interview: 1-and-done (1.5-hour onsite interview in Rockville, MD office on October 6th)

Notes:

MUST BE ABLE TO ATTEND AN ONSITE INTERVIEW AT FINRA’S ROCKVILLE, MD OFFICE ON OCTOBER 6TH (NO EXCEPTIONS)

Technologies:

Java, Python, Node.js

Spark, EMR, Athena

ETL/ELT development

AWS cloud platform

PostgreSQL, MySQL, Aurora

DynamoDB, MongoDB, Cassandra

Airflow, AWS Glue, Step Functions

CI/CD and security practices

Job Description:

The Senior Software Engineer develops software products and drives improvements to overall product quality across the software development life cycle, providing technical leadership within the team. Incumbents work on broad problems of scope that require decision-making and creativity - designing and maintaining applications that ingest multiple data sources and surface insights through correlation and analysis - while operating independently under general guidance to impact team-level goals.

Essential Job Functions

·       Designs, develops, and maintains applications that ingest multiple data sources and surface insights through correlation and analysis, ensuring code quality, performance optimization, and adherence to best practices.

·       Provides technical leadership and mentorship to junior engineers, and guides the team on effective, responsible use of AI-assisted development tools.

·       Participates in architecture discussions, contributes to technical strategy, and defines technical solutions or operational processes that improve efficiency with meaningful, measurable impact.

·       Preemptively identifies and resolves technical risks and cross-team dependencies early to ensure successful project execution, delivering many of the team's goals on time and to a high standard of quality.

·       Supports production systems and troubleshoots complex technical issues, simplifying code and infrastructure to lower maintenance and migration costs.

·       Applies computer science fundamentals - algorithm design, problem solving, complexity analysis, and data structures - and strong experience with Big Data technologies to solve complex business problems.

·       Uses AI-assisted development tools to work more effectively, applying good judgment to review generated output for correctness, security, and quality.

·       Builds productive relationships with senior internal/external partners to remove barriers and align on priorities; avoids blame, disagrees and commits when needed, and demonstrates FINRA's values through in-person and virtual collaboration in furtherance of FINRA's mission of investor protection and market integrity.

Required Technical Skills

·       Strong proficiency in Java, Python, and/or Node.js, with strong object-oriented development and RESTful API design and microservices architecture.

·       Big Data processing frameworks: Apache Spark, EMR (Presto, Trino), and Athena.

·       Design and development of ETL/ELT pipelines for large-scale data ingestion, transformation, and loading, including batch and streaming processing.

·       Data lake and data warehouse patterns - partitioning, schema management, and file formats (Parquet, ORC, Avro) - with SQL performance tuning for analytical workloads.

·       Workflow orchestration and scheduling (AWS Glue, Step Functions, Airflow) and data quality, validation, and pipeline monitoring.

·       Relational databases (PostgreSQL, MySQL, Aurora) and NoSQL databases (DynamoDB, MongoDB, Cassandra).

·       Core AWS services (EC2, S3, Lambda, RDS, ECS, API Gateway), CloudWatch/CloudTrail, IAM, VPC networking, and Infrastructure as Code (Terraform/CloudFormation).

·       CI/CD pipelines, test automation and unit testing, and software security best practices.

Nice to Have

·       QuickSight for dashboards and data visualization.

·       Frontend applications (React, Angular).

·       GitLab CI/CD exposure.

·       AI development tools (e.g., Amazon Q or similar code assistants), with the ability to validate generated code for correctness, quality, and security, and good judgment about when human review is required.

Education/Experience Requirements

Bachelor's degree in Computer Science, Information Systems, or a related discipline with at least seven (7) years of related experience, or the equivalent combination of education and work experience. Requires system design experience; strong experience in object-oriented development, cloud technologies, and data storage technologies (both relational and NoSQL); and experience in performance tuning and optimization, DevOps and CI/CD, test automation and unit testing, and software security.