Job description

The Data Engineer within the Analytics Center of Excellence leverages Acxiom and third-party software to create solutions to business problems defined by specific business requirements. In this position, you will draw upon technical and data processing knowledge to solve complex marketing analytics problems on very large volumes of data.

This role can be home-based almost anywhere in the U.S.

What You Will Do:

  • Understands requirements to build, enhance, or integrate data manipulation/automation programs and processes for one or more Acxiom Client solutions and/or applications. Able to read and interpret application design and functional specifications to write or enhance application code
  • Develops automation jobs for data orchestration, data analysis, and data transfers
  • Draws on past technical experiences to adapt to new programming languages and technologies on the fly to deliver on assigned projects
  • Using a relevant software language, develops/ executes unit test cases and tests software applications that fulfill functional specifications. Documents and interprets test results and corrects application coding errors
  • Provides input on functional requirements and participates /presents review code in code review sessions
  • Helps accurately estimate requirements in order to deliver client solutions within time and quality standards
  • Interacts with client/stakeholders to understand and resolve problems in a timely manner, prioritizing multiple issue responses based on the severity of the case
  • Utilizes standard /Acxiom methodologies to ensure overall solution and data integrity is maintained
  • Understands Acxiom solution software. Defines solutions standards, policies, and procedures
  • Identifies and diagnoses areas of maintenance and process improvement

What You Will Have:

  • 3+ years of experience in data engineering/programming and data analytics at a large organization
  • Expert proficiency in SQL/HQL for data analysis and data manipulation
  • Creating data pipelines in Spark/PySpark leveraging both dataframes and HQLContext
  • Experience leveraging Python (pandas, numpy, dataframes) for data pipeline orchestration, file parsing. JSON manipulation leveraging dictionaries and working with APIs are great to have
  • Experience leveraging Hadoop technologies along with shell or python scripting to create data pipelines
  • R experience using dataframes dplyr, data.table, tidyverse is a plus
  • Experience developing and performance tuning in multi-node cluster environments
  • Experience working in cloud environments – Amazon Web Services/Google Cloud
  • Multitasker – Able to prioritize and deliver on multiple projects and tasks that are happening without sacrificing details
  • Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)
  • Analytic problem-solving skills with the ability to think outside-the-box
  • Analytical thinker that excels at analyzing and understanding data to answer questions
  • Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design
  • Passion for considering how projects fit into the wider business picture
  • An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)
  • Self-Starter – Able to work independently with little guidance
  • Adaptable - Able to adapt to diverse technical challenges and systems
  • Ability to formulate and present insights with gathered data to both technical and non-technical peers, leaders, and clients
  • No visa sponsorship currently available
  • Up to 10% travel (Post COVID)

What will set you apart :

  • Client facing consulting experience
  • Experience with 3rd party MarTech data (Email send/response, Direct Mail send/response, Prospect Lists) and/or AdTech data (Digital Ad Impressions/Activity, Social, Website activity)
  • Experience leveraging SAS building macros
  • Experience working in environments with strong data privacy and data governance
  • Hadoop architecture (Cloudera, Hortonworks, MapR)
  • Building reports in Tableau or other BI Tools


Primary Location City/State:

Homebased - Conway, Arkansas

Additional Locations (if applicable):

Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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