Senior Data Engineer (Fulltime OR Contract/C2C) at Tech Holding

, , United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

180000.0

Posted On

03 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Platforms, SQL, Data Modeling, Machine Learning, Data Analysis, Big Data, Hadoop, Spark, Kafka, Data Quality, Data Governance, Data Pipelines, Documentation, Data Security, Business Intelligence

Industry

Software Development

Description

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 to join our growing Tech Holding family. You will be working with internal stakeholders, engineers, data scientists, cloud platform engineers, and other technologists across the business. The position requires the candidate to have experience with setting up a full end-to-end data pipeline. What you will do: Develops and maintains scalable data pipelines Collaborate with business teams to improve data models that feed business intelligence tools Implements processes and systems to monitor data quality, ensuring production data is always accurate and available Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues Works closely with all business units and engineering teams to develop a strategy for long term data platform architecture Take ownership of your code, and ensure that the acceptance criteria is verified before sending the ticket to QA Implement data lake/data warehouse on various cloud providers (AWS, Azure, GCP) Produce detailed documentation related to the data pipeline, including design, development, and deployment details Designs data integrations and data quality framework Develop and maintain strategies on data security and data governance Required Skills: 5+ years of data engineering experience Experience with multiple cloud platforms (AWS, Azure, GCP) Experience with DBT (Data Build Tool) Advanced working SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases Strong analytic skills related to working with unstructured datasets Experience with big data tools: Hadoop, Spark, Kafka Experience with Data Modeling Some understanding of Machine Learning Comfortable with Data Modeling, BI Tools, Reporting, Dashboards, and Data Analytics A successful history of manipulating, processing, and extracting value from large disconnected datasets Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Nice to have Skills: An engineering or cloud architecture background Education & Certifications: Bachelor’s Degree in Computer Science or relevant years of work experience Compensation: Hourly Rate: $90–$110 USD/hour (for contractor roles) Salary Range: $150,000–$180,000 USD/year (for full-time roles) Availability: Must be available to work core hours aligned with Central Standard Time (CST) What we offer: Remote Work Opportunities Flexible Work Hours Unlimited PTO Competitive Salaries Health + Dental + Vision + Life Insurance Long Term disability + 401k Match 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

Responsibilities

Develop and maintain scalable data pipelines while collaborating with business teams to improve data models. Implement processes to monitor data quality and troubleshoot data-related issues.