The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a Sr Data Engineer in Plantation, FL.

Role Description:

• We are looking for a savvy Data Engineer to join our growing team of analytics experts.
• The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler, who enjoys optimizing data systems and building them from the ground up.
• The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
• The right candidate will be excited about the prospect of optimizing or even re-designing our company's data architecture to support our net generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture, Assemble large, complete data sets that meet functional / non-functional business requirements.
• Identified, designed, and implemented internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, performance, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our offerings.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Skills & Requirements

• Advanced degree in Computer Science (Ph.D., preferred), Applied Mathematics, Statistics, Informatics, Information systems, or another quantitative field
• Experience working with relational databases and data warehouses, including Postgres, Microsoft
• SQL Server, Oracle, GCP BigQuery, etc.
• Experience with big data tools: Hadoop, Spark, Hive, HBase, etc.
• Experience with NoSQL data repositories, ideally, Elastic Search.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Familiar with workflow management tools: NiFi, Airflow, etc.
• Experience with stream-processing systems: Storm, Spark, and/or Kafka Streaming, etc.
• Experience with programming and scripting languages: Python, Java, C++, Scala, etc.
• 7+ years of experience in a Data Engineering role in complex, enterprise environment
• Must possess strong experience and proficiency with programming and scripting using Python
• Must possess strong experience and proficiency with Kafka as a stream-processing system
• Must possess strong experience and proficiency with GCP Big Query (would be willing to entertain experience w/ other cloud based enterprise data warehouse solutions)
• Most possess strong experience and proficiency with Airflow as a workflow management tool to build and optimize big data pipelines

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

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