Senior Data Engineer (SQL/Python)

Calling All Upstarters!

SENIOR DATA ENGINEER WANTED!

We are Upstart 13. We are humble, hungry, and competent people who are radically changing the expectations and experience of outsourcing for all participants by challenging barriers that create inequality and by bringing down borders in technology for people everywhere. We’re all about delivering value and doing big things. We have become a game changer for teams around the world who look to Upstart’s services as a differentiator.

Job Description:

We are looking for an experienced and detail-oriented Senior Data Engineer to join one of our top-tier Client projects. In this role, you will be responsible for designing, building, and optimizing data pipelines, ensuring robust data infrastructure, and contributing to strategic data initiatives. You will leverage your expertise in Python/C#, MongoDB, SQL, and PowerBI, along with other technologies, to drive impactful data solutions, collaborating closely with cross-functional teams to meet organizational goals. 

Responsibilities:

• Data Architecture Design: Creating robust and scalable architectures to manage the flow and storage of data across the organization.
• ETL Processes: Developing and managing Extract, Transform, Load (ETL) processes to ensure data is accurately integrated from various sources into data warehouses or lakes.
• Data Pipeline Development: Constructing automated pipelines for data processing and transformation, ensuring smooth data flow and timely availability for analysis.
• Database Management: Administering databases and ensuring their performance, integrity, and security.
• Data Quality and Governance: Implementing data validation, cleansing, and governance practices to maintain high-quality and reliable data.
• Collaboration: Working closely with data scientists, analysts, and other stakeholders to understand data requirements and provide support in their analytical tasks.
• Performance Optimization: Monitoring and optimizing data systems for improved performance and efficiency.
• Tool and Technology Integration: Evaluating and integrating new tools and technologies to enhance data management capabilities.

Qualifications

Technical skills: 

• 5+ years of work experience as a Data Engineer with Python and/or C#.
• Strong understanding of object-oriented programming and software development principles.
• 5+ years of experience with SQL, including database design, optimization, and query performance tuning.
• 3+ years of experience with MongoDB, demonstrating proficiency in NoSQL database management and data modeling.
• At least 1 year of experience with Power BI, including report creation, data visualization, and dashboard development.

Soft skills: 

• Able to work through ambiguity in a fast-paced, dynamically changing business environment with minimal supervision.
• Excellent communication and collaboration skills with a desire to learn and teach.
• Excellent understanding of development processes and agile methodologies.
• Enthusiastic, highly motivated, and able to learn quickly.
• A willingness to get your hands dirty - you enjoy a scrappy, entrepreneurial environment where everyone pitches in to get the job done.

Bonus skills: 

• Familiarity with cloud services (e.g., AWS, Azure) is a plus.
• Experience with version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently as well as part of a team.

Why Upstart13?

• We put people first at Upstart 13! We believe the world is filled with amazing people and we are willing to go to great lengths to seek out others who share our values to join our cause of bringing down borders in technology for people everywhere.
• We develop leaders at Upstart 13, we focus on what matters to do meaningful work, we own our shit, we stay curious, and we understand responsibility leads to giving. We do big things together!

Perks:

• Job type: long-term, full-time job.
• Fully remote.
• USD competitive salary.
• 20+ Paid time off days.

Are you ready to join our cause? Be sure to ask, “why 13?”