Position: Senior Data Engineer
Company: Seeking Alpha
Experience required: 3y
English level: fluent

Seeking Alpha is looking for a talented and experienced **Data Engineer** to join us.

A Senior Data Engineer is responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

**Why we’re a great company to work for?**

**We have a mission.** Seeking Alpha is about more than helping people make money. People who invest are 24% happier, 19% less stressed, and report a 36% increase in their sense of well-being (source). By helping investors to succeed, we help them to send children to college, achieve life goals, afford healthcare, and provide themselves with a secure retirement.
**We’re profitable and growing fast.** We fuel our growth investments with our own capital, leading to greater stability for employees, and an inspiring growth-focused environment. All employees receive equity grants in-line with their cash compensation.
**You’ll work with great people.** We work in small, tight-knit groups of smart, engaged people who bring everything to the table every day.
**We have fun.** We love to get together at company events, which include Alphas who work from home. “Seeking Alpha doesn’t feed me well,” said no one ever.
**You’ll impact the lives of many people.** We have 15 million unique monthly visitors, and 500,000 unique users visit Seeking Alpha every business day.
If that’s what you’re looking for too- go ahead and apply!

**RESPONSIBILITIES**
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.
**REQUIREMENTS**
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
2+ years of proven experience developing large-scale software using an object-oriented or a functional language.
5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
Experience with AWS services, including EC2, S3, Athena, Lambda and EMR
Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
Experience with data pipeline orchestration and scheduling using tools such as Airflow
Strong problem-solving skills and the ability to work independently as well as part of a team
High-level English - a must. 
A team player with excellent collaboration skills. 

**Nice to Have:**
Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
Experience with machine learning and/or data science projects
Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
Knowledge of Spark internals (tuning, query optimization)