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Senior Data Engineer
Modash.io (Headquarters: Remote (EU) with HQ in Tallinn, Estonia)
Location: Remote | Tallinn, Estonia
|
Full-Time
|
$60,000 -
$140,000
Python
SQL
Spark
Airflow
AWS
DynamoDB
Glue
EMR
Kinesis
SQS
Lambda
ECS
Data Engineer
**About Modash:** Modash is a growing creator partnerships platform that helps brands scale their partnerships with creators on Instagram, TikTok, and YouTube. We're looking for a full-time Senior Data Engineer to join our Data team and help bring our mission to life. **Key Responsibilities:** - Take ownership of building the best data platform for influencer marketing. - Design, develop, and test data pipelines to collect, process, and store data. - Collaborate with colleagues through pair programming and mob reviewing. - Participate in every area of the data product, from brainstorming to releasing. - Help choose the best technical direction by providing well-reasoned ideas on frameworks and tools. - Implement systems to monitor data quality for accuracy and clarity. - Teach and be taught through code reviews and feedback. **Requirements:** - Experienced as a Data Engineer with a passion for building well-architected software. - Familiarity with unstructured data, Spark environments, and distributed workflow managers like Airflow or AWS Step Functions. - Hands-on experience with Python and SQL. - Building and maintaining ETL/ELT pipelines. - Familiarity with AWS ecosystem: DynamoDB, Glue, EMR, Kinesis, SQS, Lambda, ECS. - Experience with SQL/NoSQL database design. - Proven ability to scope, architect, code, test, and roll out product features. **Benefits:** - Competitive salary ranging from €60,000 to €140,000. - Flexible working hours with trust and autonomy. - Unlimited paid vacation time. - Fully remote work with freedom to work from anywhere. - Personal development opportunities and coverage for courses/books/conferences. - Ownership of ideas with quick decision-making autonomy. **Tech Stack:** - AWS with Pulumi (Infrastructure as Code) - Node.js with Typescript on AWS Lambdas and ECS - PySpark on EMR - Apache Airflow - DynamoDB, DocumentDB, S3, Kinesis, SQS, EMR, Glue, API Gateway - GitHub, Yarn, Jest, Miro, Confluence, Jira, GSuite
Post Date:
June 16, 2025