Senior Software Engineer - Ad Intelligence Data Platform

Job Description

Have you got what it takes to succeed The following information should be read carefully by all candidates.

Description:

Hybrid 4 Days a week on-site in either Seattle, WA or Glendale, CA or New York City, NY or Bristol, CT

Our client has an opportunity for a Senior Software Engineer – Ad Intelligence Data Platform on a 12+ month contract. The role joins the Data Platform Engineering group within the Ad Intelligence organization, which provides foundational data infrastructure powering audience solutions, inventory forecasting, operational data systems, and advertising measurement. The team advances advertising through data and AI across streaming and TV platforms.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $85.00/hr. w2

Responsibilities:

• Design, build, and maintain large-scale data platforms supporting real-time and batch processing.
• Develop and enhance data pipelines that integrate data from multiple source systems.
• Build cloud-based big data infrastructure with a focus on scalability, performance, and reliability.
• Support streaming and batch data applications using modern data technologies.
• Contribute to architecture, design, implementation, testing, and deployment of data solutions.
• Drive engineering best practices including CI/CD, automated testing, code reviews, and system design standards.
• Collaborate with Product Managers, Program Managers, Data Engineers, Researchers, and QA teams.
• Evaluate and implement emerging technologies across data and AI ecosystems.

Experience Requirements:

• 4+ years of professional software engineering experience.
• Hands-on experience with Python, SQL, PySpark, and Java and/or Scala.
• Experience building and maintaining production-grade data pipelines and integrating data across multiple source systems.
• Familiarity with large-scale data warehouses and data lakes.
• Experience with several big data technologies such as Spark, Flink, Kafka, NiFi, SingleStore, and AWS big data services.
• Experience working within AWS, Azure, or GCP environments and building highly available, enterprise-scale services.
• Understanding of scalable system design and distributed architectures.
• Preferred experience with Databricks, processing petabyte-scale datasets, Terraform, Kubernetes, Spinnaker, IAM, ALB, ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, and full-stack or backend development using Spring Boot, React, Vue, or Angular.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , View phone number on seattlejobs.com) inviting you to complete a brief voice screening as part of your application process.

These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices.

By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

• When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc.
• Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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