Subject Matter Expert– Data Engineering, Fully

Subject Matter Expert– Data Engineering Job Summary B&A is seeking an independent, subject matter expert to lead and provide support for data collection, data validation, data visualization, and analytics. Our culture includes a highly entrepreneurial atmosphere within a well-established business. We value highly motivated, self‑starters who thrive in a fast‑paced environment.

Responsibilities

Lead and provide expert support for data collection, data validation, data visualization, and analytics initiatives

Apply disciplined methodologies for the planning, analysis, design, and development of information systems on an enterprise-wide basis or across a business sector

Develop analytical techniques and methodologies to solve complex business and technical problems

Perform strategic systems planning, business information planning, and business analysis

Organize and analyze large volumes of structured and unstructured data sets using data analytical tools

Locate, access, merge, clean, and standardize data from multiple sources, and develop derived metrics

Create and implement data collection and analysis tools using programming languages such as Python, Databricks, SQL, Scala, R, and Java

Design, script, debug, and analyze data engineering solutions

Implement and create machine learning‑based tools and processes

Apply distributed and parallel processing technologies (e.g., Spark) to handle big data analytics tasks involving large data volumes

Perform SQL Server data imports from CSV and TXT files

Leverage Excel and Google Suite for data analysis, reporting, and collaboration

Utilize supporting tools and platforms such as Pentaho (data import/transformation), Azure Data Studio, GitHub, and Smartsheet as needed

Document task requirements, work completed, processes, and technical details thoroughly

Communicate effectively with stakeholders across technical and business teams

Operate independently as a subject matter expert in a fast‑paced, entrepreneurial environment

Education&Experience

Bachelor’s or master’s degree in computer science, data science, engineering, or a related field

At least seven (7) years of experience, including a minimum of three (3) years of specialized experience

Required Skills

Proficiency in organizing and analyzing large amounts of structured and unstructured data sets, including locating, accessing, merging, cleaning, and standardizing data, and developing derived metrics

Strong proficiency in creating and implementing data collection and analysis tools using Python, Databricks, SQL, Scala, R, and Java; knowledge of design, scripting, debugging, and analysis

Experience in the implementation and creation of machine learning‑based tools or processes

Knowledge of distributed and parallel processing (e.g., Spark) and the computational power required to handle most big data analytics tasks that can process large volumes of data

Desired Skills

Experience with SQL Server data import from CSV and TXT files

Strong skills with Excel and Google Suite

Familiarity with Pentaho, Azure Data Studio, GitHub, and Smartsheet

Strong documentation and communication skills

Security Clearance

Eligible to obtain a Public Trust Clearance

EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A’s offices, and other workplaces (including client sites) and all other locations where B&A is providing services.

EEO is the Law.

B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I‑9 Form to confirm work authorization.

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