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Data Engineer

Vanda Pharmaceuticals • Full-time • Washington, DC, US • 1d ago

Key Responsibilities

Data Engineering & Automation

Develop, optimize, and maintain ETL/ELT pipelines to process large datasets from various sources.
Automate repetitive data processing tasks, including Excel workbook updates, reporting workflows, and data cleaning.
Ensure data quality, accuracy, and security across pipelines, implementing best practices for data integrity and governance.

Data Analysis & Insights

Query, analyze, and generate reports from large datasets to drive business decision-making.
Develop data models, dashboards, and reports using SQL, Python, or BI tools.
Collaborate with cross-functional teams to understand business data needs and provide scalable solutions.

Qualifications

Required Education & Experience:

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Minimum 4 years of experience in data engineering, data analytics, or a related field.

Required Skills

Strong SQL skills, including complex queries, performance tuning, and handling large datasets efficiently.
In-depth knowledge of indexing strategies (e.g., B-tree, composite indexes) and when to use them.
Experience with partitioning, materialized views, and caching mechanisms for database optimization.
Proven ability to assess schema design and diagnose bottlenecks (e.g., full table scans, inefficient joins).
Proficiency in scripting with Python, Ruby, or a similar language for automation and data processing.
Hands-on experience designing and maintaining ETL/ELT processes and data pipeline automation.
Experience with Excel automation using Python, VBA, or Power Query.
Strong understanding of data warehousing principles, schema design, and best practices for scalability and performance.

Preferred Skills

Experience with BI tools such as Tableau, Power BI, or Looker.
Knowledge of data governance, security, and compliance best practices in a corporate environment.

Soft Skills

Ability to translate complex business needs into efficient technical data solutions.
Strong problem-solving skills with the ability to work independently and in a team.

Excellent written and verbal communication skills, with the ability to convey technical concepts to non-technical stakeholders.

The total compensation package for this position will also include incentive compensation and benefits such as health insurance, unlimited paid time off, parental leave, a 401k matching program, and other benefits to its employees.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law.