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Data Engineer

SGA Inc.

Tampa, FL

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JOB DETAILS
SKILLS
Algorithms, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Best Practices, Big Data, Business Analysis, Cloud Computing, Code Reviews, Coding Standards, Communication Skills, Computer Skills, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Support/Service, Data Analysis, Data Formats, Data Management, Data Processing, Data Quality, Data Science, Data Sets, Data Storage, Data Structures, Data Warehousing, Database Extract Transform and Load (ETL), Database Optimization, Distributed Computing, Django, Docker, Ecosystems, Electronic Medical Records, Emerging Technology, Financial Services, GCP (Good Clinical Practices), Genetics, Git, Identify Issues, Information/Data Security (InfoSec), Integration Testing, Interpersonal Skills, Jenkins, Leadership, Machine Learning, Maintain Compliance, Mentoring, Microsoft Windows Azure, MongoDB, Needs Assessment, NoSQL, Object Oriented Design (OOD), Object Oriented Programming (OOP), Oracle, Performance Testing, Performance Tuning/Optimization, Presentation/Verbal Skills, Problem Solving Skills, Process Capability, Process Improvement, Pytest, Python Programming/Scripting Language, Quality Assurance, REST (Representational State Transfer), Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), Software Development, Staff Development, Stored Procedures, System Integration (SI), Systems Analysis, Team Lead/Manager, Team Player, Technical Delivery, Technical Leadership, Time Management, Unit Test, Writing Skills
LOCATION
Tampa, FL
POSTED
2 days ago
Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer/PySpark Developer for a right to hire assignment with one of our premier financial services clients in Tampa, FL.

Responsibilities :
  • Design, develop, and implement robust, scalable, and high-performance data pipelines and applications using Python, PySpark, and Big Data technologies.
  • Work autonomously to analyze requirements, propose technical solutions, and deliver high-quality code and data products, ensuring alignment with architectural standards and business objectives.
  • Utilize expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) to process, transform, and manage large datasets efficiently.
  • Write complex SQL queries, stored procedures, and optimize database performance for large-scale data warehousing and analytics solutions.
  • Develop and enhance ETL (Extract, Transform, Load) processes, ensuring data quality, integrity, and timely delivery. Experience with various ETL tools and methodologies is a plus.
  • Proactively research, evaluate, and integrate new and emerging technologies, frameworks, and tools to improve development processes and solution capabilities.
  • Ensure adherence to coding standards, conduct thorough code reviews, and implement best practices for software development, data governance, and security.
  • Diagnose and resolve complex technical issues related to data pipelines, performance bottlenecks, and system integrations in a fast-paced environment.
  • Collaborate effectively with cross-functional teams including architects, data scientists, business analysts, and QA engineers. Provide technical guidance and mentorship to junior team members.
  • Identify opportunities to use AI tools to speed up development, code reviews, unit testing and deployment.
Required Skills:
  • Bachelor’s degree/University degree or equivalent experience
  • 10+ years of experience in Applications Development, Systems Analysis, or equivalent senior engineering roles.
  • Extensive handson experience delivering enterprisescale, databasedriven platforms in a regulated environment.
  • Expert-level proficiency in Python programming, including object-oriented design, data structures, algorithms, and extensive experience with various Python libraries.
  • Deep expertise in developing, optimizing, and deploying PySpark applications for large-scale data processing, ETL, and real-time analytics on distributed systems (e.g., Spark SQL, Spark Streaming, DataFrames).
  • Strong understanding of Apache Spark architecture, Hadoop ecosystem, and experience with distributed computing concepts. Familiarity with big data storage formats (e.g., Parquet, ORC).
  • Solid experience with both relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB). Strong SQL writing and optimization skills.
  • Experience in designing, developing, and consuming RESTful APIs using Python frameworks (e.g., Flask, FastAPI, Django REST Framework).
  • Strong understanding and practical experience with CI/CD tools (e.g., Jenkins) and containerization technologies (Docker, Kubernetes).
  • Expert-level proficiency with Git.
  • Experience with unit testing (e.g., Pytest), integration testing, and performance testing frameworks for Python and PySpark applications.
  • Exposure to or direct experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts, frameworks (e.g., TensorFlow, PyTorch), or relevant projects is a significant advantage
  • Exceptional analytical and problem-solving abilities, with a strong capacity to understand complex business needs and translate them into effective technical solutions.
  • Excellent leadership, team management, and mentoring capabilities.
  • Superior verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong collaboration and interpersonal skills, with a proven ability to work effectively with cross-functional teams.
  • Highly proactive, results-oriented, and a strong commitment to delivering high-quality, innovative solutions.
  • Ability to thrive and lead in an agile, dynamic, and fast-paced work environment.
Preferred Skills:
  • Exposure to at least one major cloud provider (AWS, Azure, or GCP), specifically with their compute, storage, and data services (e.g., S3, ADLS, EMR, Databricks, Azure Synapse) preferred.
  • Master’s degree preferred
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy

About the Company

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SGA Inc.

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