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About Alpha Theory:
Alpha Theory is a fintech software company that prides itself on an inclusive and transparent culture that attracts curious teammates who are excited about tackling big ideas. We hire smart, motivated team members that crave feedback to be better. We believe that good ideas come from all ranks of the team as we all strive to create the best possible version of Alpha Theory.
Key Responsibilities:
Building and maintaining robust data pipelines that ingest, process, and deliver data to data science teams and other stakeholders.
Ensuring data pipelines are scalable, reliable, and meet performance requirements.
Collaborating with data scientists and analysts to understand data requirements and ensure data is accessible for analysis.
Designing, developing, and maintaining ETL processes to transform and load data into analytical data stores.
Optimizing and automating data extraction, transformation, and loading tasks.
Designing and developing modern automated tooling and scripts for data validation and monitoring.
Monitoring data for anomalies, errors, and inconsistencies and taking corrective actions as needed.
Assisting in migration of current data science SQL infrastructure to more modern and scalable infrastructure (preferably in the cloud and postrgres)
Assisting in managing and administering Alpha Theory’s SQL Server instances.
Requirements
Required Qualifications:
2-3 years of experience as a data engineer or software engineering experience (including data engineering)
Bachelor's or higher degree in Computer Science, Data Science, or a related field (or comparable experience)
Expertise in Python, SQL Server, and Git (GitHub)
Experience in ETL processes and data pipeline development & management
Experience in data quality assurance, including data cleansing and validation
Knowledge of database systems, data warehousing, and data modeling
Excellent problem-solving and troubleshooting skills
Strong communication and teamwork abilities
Preferred Qualifications:
Preferred experience with tools and technologies commonly used in data engineering (e.g., Apache Spark, Airflow, Docker, AWS, etc.)
Experience with financial data
Familiarity with data science and analytics concepts
Experience with project management
Familiar with OpenAPI standards (FastAPI)
Benefits
Competitive pay
Opportunity to receive stock options
Company-paid employee healthcare
401k with company match
Generous PTO plan
Flexible remote-work policy