Company Overview

Paralel Technologies is a FinTech firm redefining the relationship between asset managers and their back office. We are the future of the back office, using next-generation technology and old school relationship-driven culture to redefine the value proposition for our clients.

What You’ll Do:

We are looking for an ambitious Data Engineer to join this passionate product design, and development team. The ideal candidate will be excited to wear multiple hats, including back-end engineering, data engineering, and API development. We are looking for someone who wants to make an impact and who is results-and execution-oriented. We are a team of do-ers!

In addition to the core technology team, this position will work closely with other operational teams to monitor and support the live platform and hosted client websites. This position will be a bridge between the US based teams and the offshore dev teams. We are looking for someone who enjoys problem solving with a forward-looking mindset.

Job Responsibilities: (May include and are not limited to)

• Develop and maintain the data architecture vision and strategy, ensuring alignment with business objectives and technology roadmaps.
• Plan, design and execute data integration solutions by establishing new or modified interfaces, data mappings, transformations, and data routing.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Integrate with a wide array of tools and services via API.
• Monitor, troubleshoot, and provide ongoing support for a diverse range of services and applications across our ecosystem.
• Develop, modify, and optimize complex SQL queries, stored procedures, and functions to support various applications.
• Exploring new technology solutions to enhance functionality continually
• Uphold industry best practices for data architecture, data governance, and ETL processes
• Requirement and technical documentation
• Participating in code review
• Work with stakeholders globally, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
• Integrate well with the operations teams to understand their workflow and help form an efficient support model.
• Be open minded, humble and be willing to learn all aspects of the business.
• Demonstrate qualities of a team player.

Qualifications:

• Degree in Computer Science, Data Science, related field, or equivalent experience
• Experience in Artificial Intelligence or Machine Learning is a plus
• 2-4 years of increasing responsibility in backend and data engineering roles in startup environments
• Experience designing and building ETL pipelines
• Stakeholder management and communication skills, including prioritizing, problem solving, and interpersonal relationship building is a plus
• Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment
• Experience implementing and delivering data solutions and pipelines in AWS.
• A strong understanding of data modeling, data structures, databases, and ETL processes
• An in-depth understanding of large-scale data sets, including both structured and unstructured data
• Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment
• Proficient understanding of build tools and code versioning tools, such as Git
• Knowledge of containerization technologies like Docker is a plus.
• Experience with the following tech stack:
  • Language: Python
  • Framework: Django
  • API: REST/GraphQl
  • Cloud: Azure/AWS
  • AWS services: Lambda, VPC, S3, AWS Glue, Eventbridge, RDS, Athena, SQS, SNS
  • DB: PostgreSQL
  • PySpark (Basics)
• Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment
• Highly flexible, good tolerance for ambiguity, and able to quickly adapt to changing priorities
• A top performer with a proactive approach who has a “doer” & problem-solver mentality
• An exceptional team player with strong communication skills
• A local presence in Denver is preferred

Compensation Range:

• $90,000 – $120,000
• The actual salary offer to the successful candidate will be based on job-related education, training, industry experience, certifications and other factors.

Other Compensation:

• Performance bonus eligible

What We Offer:

A comprehensive benefits package, including:

• Employer paid medical options, plus dental and vision coverage
• Disability, AD&D and Life Insurance
• Flexible spending accounts (FSA); Health savings account (HSA) for high deductible medical plan
• 401(k) Match
• Unlimited Paid Time Off and 10 paid holidays
• Tuition Reimbursement for continued education
• On-site gym and yoga studio
• An energetic team-based culture focused on our values of service to others and to our community
• Work life flexibility

Paralel Technologies LLC is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.