Job Description
Senior Associate — Data Engineer (NYC, Hybrid)
Publicis Sapient is seeking a Full-time Data Engineer (Senior Associate L1 and L2) to support our Client in Financial Services sector.
As a Senior Associate Data Engineer, you will be responsible for designing, developing, and maintaining scalable Big Data solutions. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.
Your Daily Duties & Impact:
- Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients’ business.
- Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects that deliver business value for clients.
- Automate data platform operations and manage the post-production system and processes and ensure the data quality is accurate for the data.
- Conduct technical feasibility assessments and provide project estimates for the design and development of the solution.
- Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements.
- Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
- Ensure that the data marts which are built are cost-effective and performant.
Qualifications: Must have background in Financial Services.
Eligibility criteria:
- Preference for NYC based candidates.
- Willing to work hybrid with 3 days per week onsite in office.
- Publicis Sapient office location: 375 Hudson Street, New York 10014, United States
Your Technical Skills & Experience:
- Demonstrable experience leveraging AI to design and build data marts and data platforms involving implementation of end-to-end data pipelines such as Glue ETL, Lambda functions, Spark/ Pyspark and DBT.
- Experience applying AI to optimize data processing, transformation, or analytics workflows.
- Hands-on experience with one or more cloud providers: AWS, Azure, GCP.
- Experience designing, deploying, and operating cloud-native data solutions.
- Implementation experience with NoSQL databases (i.e., DynamoDB, Cosmos DB, etc.) and traditional databases (i.e., SQL Server, Oracle, MySQL)
- Experience in data modeling, warehouse design and building fact and dimension tables.
- Experience with modern data lakes such as Databricks and/or Snowflake and Apache Iceberg.
- Logical programming skills using SQL queries, Python, Spark/ PySpark, Java, JavaScript, and/or Scala.
- Cloud-native data platform design with a focus on streaming data pipelines and event-driven architecture.
- Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
- Bachelor’s degree in computer science, Engineering or related field.
Top 5 Must Haves:
- AI‑Driven Data Engineering.
- 4-5yrs of experience on either of the cloud platforms (AWS, Azure, GCP).
- Atleast 2years of experience with data lakes such as Databricks and/or Snowflake.
- NoSQL and SQL.
- Implementing data pipelines.
- Proven experience in data modeling, data warehouse design and fact/dimension implementations.
#LI-DNI
Additional Information
Additional information:
Annual Pay Range (in USD):
For SAL-1: $110,000 - $130,000
For SAL-2: $130,000 - $150,000
The ranges shown above represent a grouping of relevant ranges currently in use at Publicis Sapient. The actual range for this position may vary based on location and the specific skills required for the role.
Benefits include:
- An inclusive workplace that promotes diversity and collaboration.
- Access to ongoing learning and development opportunities.
- Comprehensive health benefits for you and your family.
- Flexible vacation (not limited, allocated, or accrued).
- Parental leave and new parent transition program.
- Corporate gift matching program.
- Generous paid leave and holidays.
- Wellness program and employee assistance.
Publicis Sapient is committed to fostering an inclusive and diverse workplace and upholds equal employment opportunity for all individuals. Employment decisions are made without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, religion, or any other protected characteristic.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout our recruitment process. If you require assistance or an accommodation due to a disability, please contact us at hiring@publicissapient.com or call +1‑617‑621‑0200.
Company Description
Publicis Sapient is a digital business transformation company that partners with global organizations to help them thrive in an AI‑driven world. We focus on applying artificial intelligence in practical, enterprise‑scale ways—helping clients modernize platforms, unlock value from their data, and build AI‑powered products and experiences.
Our work in AI spans areas such as generative AI, enterprise platforms, data‑driven decisioning, and intelligent automation, always with a strong emphasis on responsible, human‑centered adoption.
United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.
Visit our website to learn more about the work we do: https://www.publicissapient.com/
Other Jobs At Publicis Sapient
Lead Developer Endur- ETRM Houston, Texas, United States
Director of Engineering - Health Boston, Massachusetts, United States
Senior Manager Cloud Technology - Financial Services Los Angeles, California, United States
Show all jobsRefer a Friend
If you work for Publicis Groupe, please proceed by selecting the below option.
Search our opportunities or introduce us to someone we should know