Wilson Bittencourt is in direct contact with Opal Data Consulting and can answer any questions you may have. Email
About Opal Data Consulting:
At Opal Data we combine business and technical expertise to create solutions for businesses.
Traditional management consultants offer strategic advice without the technical skills to
implement their proposed solutions. Software consultants often build tools that aren’t truly
optimized for a business or organizational need. We combine the best of both worlds.
We build machine learning models to help our clients take advantage of growth opportunities,
construct data warehouses to help organizations secure and work with their data, create
dashboards and visualizations to help businesses better understand themselves, write software
to automate tasks and create pipelines, and so much more.
We are a small but nimble team looking to bring on a self-starter who excels at data
engineering. You can read more about us at: www.opal-data.com.
Job Summary:
The Data Engineer will report directly to Opal’s founder / technical lead. As a core member of a
small team, the position provides an opportunity for growth across a wide range of technical
skillsets, as well as experience working in a wide range of industries across our client projects.
Because of the broad range of work we do; candidates are not expected to be experts in every
technical task outlined below. Instead, intelligence, curiosity, and excitement about
experimentation and learning are going to the most important determinants of success in this
position. We believe strongly in developing our team members and promoting from within. A
baseline familiarity with programming, data analysis, and data shaping, along with strong
proficiency in Python are the foundations we are looking to build on.
The position is a good fit for those who are looking to grow their careers and become a data
scientist, machine learning engineer, or software engineer.
Major Responsibilities:
• Clean and analyze datasets
• Use APIs and build scrapers to ingest data into programs and data warehouses
• Build pipelines to move and transform data as needed
• Work with cloud platforms, both internal and client-managed, to host code and store
data
• Create ETL scripts to shape data for visualization and automation tasks
• Visualize data in one-off analyses, as well as for dashboards in Tableau, Power BI,
DOMO, etc
• Help prepare datasets and create variables for machine learning projects
• Write clean, well-documented code
Qualifications:
• Bachelor’s degree in a computational field; or, in lieu of formal education, 1-3 years of
similar technical work experience
• Extremely proficient in Python
• At least a basic knowledge of SQL
• Fluency in English
• Data analysis experience, including at least a basic familiarity with joining tables, finding
the data that matters, and extracting and combining those data points into insights
• Please mention:
o Any other programming languages used
o Experience with Tableau, Power BI, DOMO, or other dashboarding platforms
o Experience building or expanding data warehouses
o Machine learning / predictive modeling experience
We help our clients take advantage of their biggest opportunities and solve their most important challenges. We use our diverse experience as strategy consultants, startup founders, and technology leaders to understand your organization and build the best, most cost-effective solutions to help you grow.