DATA ENGINEER I

Description JOB TITLE.
Data Engineer I Syneos Health is the only fully integrated biopharmaceutical solutions organization purpose-built to accelerate customer success.
We lead with a product development mindset, seamlessly connecting our capabilities to add high-value insights to speed therapies to patients and provide practical value to help our customers achieve their objectives.
Every day we perform better because of how we work together, as one team, each the best at what we do.
We bring many talented experts together across a wide range of business-critical services that support our business.
Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.
Discover what our employees, across 110 countries already know.
WORK HERE MATTERS EVERYWHERE Why Syneos Health #SyneosHealthLife means we’re committed to our Total Self-culture – where everyone can authentically be themselves.
Our Total Self-culture is what unites us globally, and we know every person’s unique contributions make a difference.
We believe our success is a direct result of the people who are driving it – you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you.
That’s why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial.
We are continuously building the company we all want to work for and our customers want to work with.
Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
JOB SUMMARY The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation.
TDS houses our advanced technology acquisitions, homegrown products & applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers and drives enterprise-wide adoption and change management for innovative tech & data solutions.
Our work supports getting meaningful new medicines to patients faster, with greater positive impact.
The Data Engineer I supports our business goals by designing, implementing, and maintaining data pipelines using cloud-native tools in a modern data stack.
JOB RESPONSIBILITIES ·        Expertly perform tasks under supervision.
·        Develop and maintain end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse.
·        Capable of formatting and distributing custom data extracts through various means (e.
., custom SFTPs, APIs (e.
., RESTful), and other bulk data transfer mediums) and optimizing data storage options based on business requirements.
·        Competent in helping to develop/design database structure and function, schema design, and database testing protocols.
·        Contribute to the process of defining company data assets (data models) and custom client workflows, as well as standardized data quality protocols.
·        Capable of independently and collaboratively troubleshooting database issues and queries for improving data retrieval times across various systems (e.
., via SQL).
·        Collaborate with both technical and non-technical stakeholders including IT, Data Science, and various team members across a diverse array of business units.
·        Work closely with IT team whenever necessary to help facilitate, troubleshoot, or develop database connectivity between internal/external resources (e.
., on-premises Azure Data Lakes, Data Warehouses, and Data Hubs).
·        Help implement and enforce enterprise reference architecture and ensure that data infrastructure design reflects enterprise business rules as well as data governance and security guidelines.
Qualifications ·        Bachelor’s degree (BS/BA) in Information Systems, Software Engineering, Computer Science, Data Engineering, or related field required.
Master’s degree (MS/MA) preferred.
·       Two (2) – Three (3) years of Azure Stack and production level experience with on-premises Microsoft SQL Server.
·        Experience with Azure Stack (Data Lake/Blob Storage, PowerBI Services, Azure Data Factory (or equivalent), Databrick) and production level experience with on-premises Microsoft SQL Server required.
·        Experience with ETL/ELT, taking data from various data sources and formats and ingesting into a cloud-native data warehouse, required.
·        Experience with one of the following.
Python, R, and/or Scala as well as standard analytic libraries/packages (e.
., pandas, Numpy, dplyr, data table, stringr, Slick, and/or Kafka) and related distribution frameworks required.
Strong verbal and written communication skills required.
·        Experience with DataRobot, Domino Data Labs, Salesforce MC, Veeva CRM preferred.
·        Familiarity with Snowflake Warehouse preferred.
·        Familiarity with statistical concepts and analytic modeling (e.
., regression analyses, hypothesis testing, and ML based modeling) preferred.
·        Experience with healthcare marketing analytics, healthcare data claims, and common medical coding sets (ICD, HCPCs, NPIs) preferred.
Disclaimer.
Tasks, duties, and responsibilities as listed in this job description are not exhaustive.
The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities.
Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description.
The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above.
Further, nothing contained herein should be construed to create an employment contract.
Occasionally, required skills/experiences for jobs are expressed in brief terms.
Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.
The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.