In this role, you will:
- Understand existing data ingestion and cleaning processes, and take responsibility for further refinement and implementation
- Explore raw customer data to get a better understanding of the different files, columns, and characteristics (e.g., column averages, expected ranges, trends, standard deviations, etc.)
- Understand customer needs and requirements, and make suggestions based on data
- Work with VIA’s client delivery team and the customer to validate assumptions and resolve issues with the data
- Own the ingestion of data into relational and/or non-relational databases standardized across customers, enabling data to connect to the rest of the data science pipeline
- Leverage VIA libraries to ingest raw data from customers
- Perform cleaning of raw data
- Design end-to-end data pipelines
- Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
- Perform quality control, identifying errors or discrepancies in data and data products, including automated and manual testing
- Translate customer domain knowledge to create automated analyses and insights
- Document assumptions and actions made during the data cleaning and wrangling process to provide traceability
- Utilize data visualization tools to analyze data and craft compelling visual representations
- Contribute to the continual improvement of internal tools for data cleaning and data quality assessment by identifying key data-related challenges that are ideal candidates for automation
- Contribute to the delivery of data-based products to external customers, including data visualizations, data quality reports, and statistical analysis
What you will bring to this role:
- 2+ years of experience in a data-driven role or equivalent in data-related research projects
- Bachelor’s or Master's degree in science, mathematics, engineering, or a data-driven field
- Competence in at least two of the following technologies:
- Database technologies (e.g., SQL, PostgreSQL)
- Python, R, or equivalent programming with data science libraries (e.g., NumPy, pandas)
- Data visualization tools (e.g.,Plotly, seaborn, ggplot)
- Ability to break down complex problems into actionable steps
- Passionate about data quality
- A self-starter attitude and demonstrated ability to learn new technologies quickly
- Experience in the following is a plus:
- Data dashboarding tools (e.g., Streamlit, Tableau, Dash)
- Data pipelining (e.g., ETL workflows and tools)
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What We Do
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hatch I.T. is a specialized technology consulting firm connecting software, product, and data engineers with tech startups in emerging tech markets. We offer customized models that transform the way early-stage and high-growth startups scale. Our flagship programs include:
- Scale – technical consulting and recruiting services for high-growth startups
- Stride – technical strategy and consulting for early-stage startups
- hatchpad – an online community platform connecting startup technologists to network, learn, and advance in their careers
In true startup fashion, our roots can be traced to a garage in Leesburg, VA in 2013. While working with local startups, our Founder & CEO, Tim Winkler, realized that traditional staffing models didn’t align with the growth needs of startups. Working with those firms felt transactional and the costs were way outside a startup's budget. There was a need for a solution that was relational, community driven, and flexibly priced. With this in mind, hatch I.T. was formed, along with customized models that transform the way early-stage and high-growth startups scale.
Fast forward 8 years and 15 employees later, hatch has developed a platform that provides a roadmap to guide startups from MVP through all stages of growth. After proving this model with dozens of startups across DC, Maryland, & Virginia, we realized it was needed in all emerging startup markets.
If you’re a startup looking to grow your startup team, or an engineer looking for a career at an innovative tech company, connect with hatch I.T. today.
