Data Engineer (Level II/Senior/Principal)
Company: Activate Global, Inc.
Location: Boston
Posted on: April 19, 2024
Job Description:
Benefits Overview:
Health, dental, 20 days PTO, 11 holidays, 12 weeks paid parental
leave, stock options, professional development budget, and
more.
Job Overview:
Found Energy is seeking a talented Data Engineer with a minimum of
2 years of industry experience to join our Research and Development
team. The ideal candidate will have a background in implementing
data infrastructure for both backend and frontend using the cloud.
They will have an appreciation for the unique infrastructural needs
of a startup gathering data over a rapidly increasing quantity of
physical hardware systems, including chemical reactors with
numerous sensor inputs. They will also be passionate about enabling
our team to make data-driven insights and decisions that inform our
processes and system designs.
Having successfully developed core hydrogen generation
technologies, including kW-scale power systems, Found Energy is now
focused on scaling up reactor systems for both minimum viable
product (MVP) and commercial pilot demonstrations. This endeavor
involves designing and testing numerous sub-processes and
sub-systems at industrial scale, as well as at various intermediate
scales along the development path.
As a Data Engineer in this role, you will be responsible for
implementing and owning robust data pipelines. You will design
applications that run on these pipelines to monitor the performance
of our reactors and supporting hardware, as well as generate
diagnostic, descriptive, and predictive analytics for our
commercial subsystems and routine bench-top experiments.
Responsibilities and Duties:
- Lead the development and maintenance of data infrastructure,
including data pipelines, ETL processes, and databases, to support
global operations across Found Energy's reactor locations.
Implementation of solutions should follow iterative, lean software,
and feature-driven development programming methodologies required
in a fast-paced deep-tech startup.
- Collaborate with interdisciplinary teams, including engineers
and scientists, to design and implement applications for data
analysis, dashboarding and real time monitoring, enabling
stakeholders to derive insights and make informed
decisions.
- Communicate with engineers and scientists to understand the
fundamentals of our technology and translate these to data
requirements, optimized data collection processes with a focus on
expandability.
- Own the management and optimization of storage solutions for
large-scale experimental data, ensuring efficient retrieval and
access through the use of custom API design and
implementation.
- Drive programming best practices, employing the use of linters,
intuitively named variables, unit and integration testing, CI/CD
and auxiliary requirements documentation and technical design
documentation.
- Model company values and participate in building and growing a
positive and motivated company culture. Extend these values to our
technical systems with a focus on enabling new insights, ensuring
excellent documentation on infrastructure design and processing,
and designing with data security in mind.
Preferred Qualifications:
- Academic degree in Computer Science or equivalent discipline,
with a minimum of 2 years relevant experience. Certificate programs
will be considered with relevant experience.
- Note: Role designation will be commensurate with experience and
candidates with additional experience will be considered for
advanced roles.
- Exceptional communication and documentation skills
- Flexibility to deal with the rapidly changing needs of a
startup
- Deeply motivated by the climate crisis and its downstream
impacts
- Experience in one or multiple of the following:
- Hands-on experience designing and maintaining data pipelines
and ETL processes.
- Proficiency in working with large datasets and implementing
scalable data storage solutions.
- Experience with SCADA systems and SQL programming.
- Experience working in Linux environments.
- Experience working with git and GitHub.
- Experience with common deployment tools like Docker.
- Experience with data analysis tools and frameworks employing
Python, R, or Apache Spark.
- Knowledge of cloud platforms and services, such as AWS or
Azure.
- Knowledge of implementing REST API.
- Experience with data visualization and UI tools, such as
NodeRed.
- Familiarity with industrial automation systems and
protocols.
- Working knowledge of regulatory standards and safety protocols
relevant to data management in industrial settings.
- Experience analyzing time series data to extract common
signatures and reveal feature correlations.
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Keywords: Activate Global, Inc., East Providence , Data Engineer (Level II/Senior/Principal), Engineering , Boston, Rhode Island
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