Salesforce Developer

DevOps Equities AWS Glue Terraform Brokerage Operations Data Lakes Databricks AWS Kinesis Data Quality Apache Kafka Data Modeling Apache Iceberg Data Governance Machine Learning Data Engineering Security Controls Wealth Management Business Valuation Financial Services AWS CloudFormation Scalability Design Amazon Web Services Technology Ecosystems Solution Architecture Cloud-Native Computing Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Infrastructure as Code (IaC) Scala (Programming Language) Python (Programming Language) Financial Technology (FinTech) AWS Cloud Development Kit (CDK) Generative Artificial Intelligence, Principal AWS Data Engineer: This is a top-level technical leader who designs, builds, and manages large-scale, cloud-native data platforms and pipelines using Amazon Web Services. Project: Retirement Partners - This is hands-on, but they will oversee and lead the team from a data perspective (equivalent to a VP) this role requires a very high level of technical experience (10+ years) - This role will require a resource who can roll up their sleeves and get in the weeds with the team on a day to day basis. - AWS Data Services: Glue, S3, Apache Iceberg - Additional Experience: Snowflake, ETL This individual will serve as a technical leader responsible for designing scalable, secure, and high-performance data solutions leveraging AWS, Apache Iceberg, Snowflake, and modern ETL/ELT frameworks. Required Qualifications - 10+ years of Data Engineering experience. - 5+ years designing and implementing AWS-based data solutions. - Deep expertise with AWS Glue and cloud-native ETL

frameworks. - Hands-on experience with Apache Iceberg in production environments. - Strong Snowflake architecture and engineering experience. - Experience building enterprise-scale data lake and lakehouse platforms. - Advanced SQL and data modeling expertise. - Strong programming skills in Python and/or Scala. - Experience with Infrastructure as Code (Terraform, CloudFormation, CDK). - Experience with CI/CD pipelines and DevOps practices. - Strong understanding of data governance, data quality, and security controls. Preferred Qualifications: - Experience within financial services, wealth management, brokerage, banking, or fintech organizations. - Knowledge of advisor, client, trading, operational, compliance, and regulatory data domains. - Experience supporting AI/ML and Generative AI initiatives through modern data architectures. - Experience with Kafka, Kinesis, or streaming technologies. - Familiarity with Databricks or Spark-based ecosystems. - AWS Certified Data Engineer, AWS Solutions Architect, or similar cloud certifications.

Skills

Aws, Etl, snowflake, glue, Apache Iceberg, S3, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Aws Data Engineer TEKsystems

Fort Mill, SC*Remote

CI/CD DevOps Equities AWS Glue Terraform Brokerage Operations Data Lakes Databricks AWS Kinesis Data Quality Apache Kafka Data Modeling Apache Iceberg Data Governance Machine Learning Data Engineering Security Controls Wealth Management Business Valuation Financial Services AWS CloudFormation Scalability Design Amazon Web Services Technology Ecosystems Solution Architecture Cloud-Native Computing Full Stack Development Artificial Intelligence Business Transformation SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Infrastructure as Code (IaC) Scala (Programming Language) Python (Programming Language) Financial Technology (FinTech) AWS Cloud Development Kit (CDK) Generative Artificial Intelligence +0