Data Engineer at Omnicom Media Group US H&S

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

95000.0

Posted On

08 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Linux, Bash, Python, SQL, Spark, AWS, GCP, Azure, Data Processing, APIs, Data Quality, Big Data, Hadoop, Hive, Airflow

Industry

Advertising Services

Description

The Company: Hearts & Science has been inspired by confident marketers seeking business advantage in a world of personalized digital marketing, where CRM and addressable channels converge, and decisions must be made in real time to aggregate effective reach and deliver the right message at the right time. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation. Position Overview Hearts & Science is currently seeking a data engineer to join our technology team. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Engineering Team. You will participate in technical architecture, design, and development of software products as well as research and evaluation of new technical solutions. Key Responsibilities: Design, build, test and deploy scalable and reusable systems that handle large amounts of data. Collaborate with product owners and data scientists to build new data products. Ensure data quality and reliability. Required Skills Experience designing and managing data flows. Experience designing systems and APIs to integrate data into applications. 4+ years of Linux, Bash, Python, and SQL experience 2+ years using Spark and other frameworks to process large volumes of data. 2+ years using Parquet, ORC, or other columnar file formats. 2+ years using AWS/GCP/Azure cloud services, esp. services that are used for data processing e.g. Glue, Dataflow, Data Factory, EMR, Dataproc, HDInsights , Athena, Redshift, BigQuery etc. Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges. Additional Skills BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (You've learned something to be able to claim you are an engineer) Significant experience with Python, C++, or other popular language Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, i.e., partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glue or something similar. Experience working with relational databases. Experience with Hadoop, Hive, Spark, or other data processing tools Experience building scalable data pipelines (Airflow experience a plus) Significant experience working with AWS and/or GCP. Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $50,000—$95,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

Responsibilities

Design, build, test and deploy scalable systems that handle large amounts of data. Collaborate with product owners and data scientists to build new data products.