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Company

Original Job Post

EarnIn · 5 days ago

Staff Data Engineer

United States

Full-time

Remote

Senior Level

$176K/yr - $262K/yr

6+ years exp

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Responsibilities

Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations.

Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies.

Develop sophisticated analytical tools that tap into the data pipeline, offering deep insights into crucial business metrics like customer growth and operational efficiency.

Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.

Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues.

Make a meaningful impact in the lives of our community members.

Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.

Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.

Estimate and manage team project timelines and risks.

Participate in hiring and onboarding for new team members.

Lead cross-team engineering initiatives.

Constantly learning about new technologies and industry standards in data engineering.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonScalaApache HadoopApache SparkAWSAzureGCPDatabricksSQLNoSQLGitTerraformCI/CDKafkaData GovernanceData Security

Required

6+ years in designing, building, and maintaining the Data infrastructure and the ability to lead complex projects and teams

Bachelor's, Master’s or PhD degree in computer science, computer engineering, or a related technical discipline or equivalent industry experience

Proficiency in programming languages like Python and Scala

Strong knowledge of distributed computing frameworks such as Apache Hadoop, and Apache Spark with cloud platforms such as AWS, Azure, or GCP

Working experience with the Databricks

Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance

Proficiency in Git and Terraform and experience in deploying continuous integration and continuous deployment (CI/CD) practices

Experience in managing event-driven systems, particularly with Kafka in cloud environments

Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices

Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol

Benefits

Equity

Benefits

Company

EarnIn

Glassdoor

4.3

EarnIn gives people access to their pay directly from their smartphones, whenever they need it

Founded in 2012

Palo Alto, California, USA

201-500 employees

https://www.earnin.com

H1B Sponsorship

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