Data Engineering Analyst

Responsibilities Kforce has a client that is seeking a Data Engineering Analyst in Orlando, FL. Summary: The Data Engineer will partner with a wide range of business teams to implement analytical and data solutions that drive business value and customer satisfaction. The candidate will be responsible for collecting, storing, processing, analyzing, modeling large sets of data and building applications and solutions using data. The primary focus will be on building, maintaining, implementing, monitoring, supporting and integrating analytical and data solutions with the architecture used across the company. How You Will Shine: • Maintain and monitor our analytics data warehouses and data platform • Design, Implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates • Responsible for hands-on development, deployment, maintenance and support of variety of Cloud and on-premise Solutions, web service infrastructure and supporting technologies • Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks • Works closely with project managers, business analysts, data scientists and other groups in the organization to understand and translate functional requirements and processes into technical specifications • Collaborate with key stakeholders to make sure our data infrastructure meets our business needs in a scalable way • Keep a critical eye on our technical strategy, identify gaps, and come up with creative solutions Requirements • Bachelor's degree in Computer and Information Science required; Master's degree preferred • 3 years of related data engineering/IT experience • 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake • 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture • 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows and Web applications • 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka, etc. • Good understanding of the company's business processes and the industry at large • Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases • Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools • Ability to perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement • Good analytic skills related to working with unstructured datasets • Ability to build and use APIs to push and pull data from various data systems and platforms • Ability to build processes supporting data extraction, transformation, and loading of data into data structures • Ability to build data models and manage data warehouses • Excellent listening, interpersonal, communication (written and verbal) and problem-solving skills • Ability to collect and compile relevant data • Extremely organized with great attention to detail • Excellent ability to analyze information and think systematically • Snowflake and Python certification preferred but not required The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.