Data Engineer

bout Egen:

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.

Want to learn more about life at Egen? Check out these resources in addition to the job description.

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We are seeking a seasoned Data Engineer with a minimum of 2 - 5 years of experience to join our team. The ideal candidate will possess a deep understanding of large-scale data processing systems, with a focus on designing and building both batch and streaming data pipelines. You will play a vital role in managing our data and ensuring its accessibility, security, and accuracy.

About the job:

• Design, develop, and deploy large scale data processing pipelines, both batch and streaming, using technologies such as Dataflow, Apache Beam, Spark, Akka, Pub/Sub
• Expertise with multiple data storage technologies such as Bigtable/HBase, BigQuery, Spanner, CloudSQL/Postgres
• Work with stakeholders to understand business problems, develop use-cases, and translate them into pragmatic and effective technical solutions
• Design and develop appropriate schema for data based on understanding of the domain problem
• Manage data lineage and ensure data security with appropriate tools and methodologies
• Collaborate with data scientists, architects, and other stakeholders to ensure alignment between technical and business strategy
• Continuously monitor, refine and report on the performance of data management systems
• Mentor junior data engineers, reviewing their outputs and directing their professional development

About you:

• 2 - 4 years of experience in data engineering, particularly in designing and developing data pipelines
• Proven expertise with technologies such as Dataflow, Apache Beam, Spark, Akka, Pub/Sub
• Experience with various data storage technologies including Bigtable/HBase, BigQuery, Spanner, CloudSQL/Postgres
• Ability to design data schemas based on an understanding of the domain problem
• Experience with data security and data lineage methodologies and tools is preferred
• Familiarity with agile development methodologies
• Exceptional communication skills, able to explain complex technical concepts in clear, plain English
• BSc degree in Computer Science, Engineering or a related field, or equivalent work experience

Nice to have:

• Experience with data migration projects
• Knowledge of dbt, Airflow, or similar orchestration tools
• Experience in multi-cloud environments
• Familiarity with data modeling and analytics use cases

EEO and Accommodations:

Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Compensation & Benefits:

This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:

• Comprehensive Health Insurance
• Paid Leave (Vacation/PTO)
• Paid Holidays
• Sick Leave
• Parental Leave
• Bereavement Leave
• 401 (k) Employer Match
• Employee Referral Bonuses

Check out our complete list of benefits here - >https://egen.ai/people/#benefits