Sr. Data Engineer/Analyst - Contract

About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role: 

We are looking for a talented Senior Data Engineer/Analyst to join our growing Tech Holding family. The ideal candidate will have experience designing scalable data solutions and the ability to leverage machine learning techniques for solving complex business problems. This role combines expertise in data engineering with advanced analytical capabilities, enabling you to work across the data lifecycle—from ingestion and transformation to modeling and insights generation.

Responsibilities: 

• Design, develop, and optimize data pipelines and workflows for seamless data movement and processing.
• Build and maintain scalable data architectures, including data warehouses (e.g., Snowflake, Redshift) and big data platforms (e.g., Databricks, Spark).
• Implement ETL processes and automate data workflows to ensure high performance and reliability.
• Extract, transform, and manipulate datasets using SQL and Python to create features for analytics and machine learning.
• Analyze large datasets to identify trends, insights, and opportunities for improving data systems and business processes.
• Build dashboards and visualizations to communicate data insights and results effectively.
• Develop, train, and deploy machine learning models within data pipelines to enhance predictive capabilities.
• Ensure model scalability and performance when working with large datasets and distributed systems.
• Utilize AWS tools (e.g., SageMaker, EMR) for managing machine learning workflows and data processing.
• Mentor junior team members on technical projects and coding best practices.
• Partner with stakeholders across analytics, product, finance, and marketing teams to deliver end-to-end data solutions.
• Actively participate in peer reviews, architectural discussions, and documentation efforts

Required Skills:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, focusing on large-scale data pipelines and systems.
• Expertise in SQL for complex data analysis and manipulation.
• Strong programming skills in Python and shell scripting, with experience in Spark for distributed data processing.
• Hands-on experience with ETL tools and cloud platforms like AWS (e.g., S3, SageMaker, EMR).
• Proficiency in working with relational databases and data warehouses (e.g., Snowflake, Redshift).
• Ability to scale data processing and modeling solutions to handle millions of rows efficiently.
• Strong problem-solving skills with the ability to devise innovative solutions.
• Excellent communication and interpersonal skills, capable of working with technical and non-technical teams.
• Proven ability to work independently and manage priorities effectively in a fast-paced environment.

Preferred Qualifications: 

• Familiarity with reporting tools like Tableau or similar platforms.
• Experience working on subscription-based products.
• Knowledge of accounting, FP&A, and marketing domains.

What we Offer: 

• Remote Work Opportunities
• Flexible Work Hours
• Professional Development Opportunities

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR