Job Description

Job#: 3018729

Job Description:

Job Description

We are seeking a Data Engineer with 3 or more years of hands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset. Experience with machine learning and LLMs is a strong plus.

Key Responsibilities

  • Clean, preprocess, and transform structured and unstructured data using Python
  • Perform exploratory data analysis (EDA) to uncover insights and trends
  • Build reusable data pipelines and feature engineering workflows
  • Work with SQL and/or cloud-based data warehouses to extract and prepare data
  • Collaborate with stakeholders to translate business problems into data-driven solutions
  • Develop and maintain analytical models and dashboards
  • Apply basic to intermediate machine learning techniques where applicable
  • Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
  • Ensure data quality, reliability, and documentation

    • Required Skills & Qualifications

  • 3+ years of experience as a Data Engineer / Data Analyst
  • Strong proficiency in Python for data manipulation and analysis Pandas, NumPy, SciPy
  • Solid understanding of data cleaning, transformation, and feature engineering
  • Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)
  • Familiarity with data visualization tools Matplotlib, Seaborn, Plotly, or Power BI/Tableau
  • Understanding of statistics and data analysis fundamentals
  • Experience working with APIs and external data sources
  • Strong problem-solving and communication skills

    • Modern / Latest Tech Stack (Preferred)

  • Python (
  • Pandas, NumPy, Scikit-learn
  • Jupyter, VS Code
  • Git / GitHub
  • Cloud platforms: AWS / Azure / GCP
  • Data tools: Airflow, dbt, Spark (basic exposure)
  • Containerization: Docker (nice to have)

    • Good to Have

  • Hands-on experience with Machine Learning modelsRegression, classification, clustering, time series
  • Exposure to LLMs and Generative AIOpenAI / Azure OpenAI APIsPrompt engineeringEmbeddings, vector databases (FAISS, Pinecone, Chroma)
  • Experience with NLP or text analytics
  • Knowledge of MLOps basics (model versioning, monitoring)

    • EEO Employer

    Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or 844-463-6178.

    Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details.

    Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.

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