> Markdown version of [/jobs/ext/1410956-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1410956-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer

- **Company:** Gemini Trust Company, LLC.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $126,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Architectural Patterns, Big Data, BigQuery, Data Auditing, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Structures, Dimensional Modeling, Document-Oriented Databases, Fault Tolerance, Python (Programming Language), Machine Learning, Metadata, Software Architecture, Blockchain, SQL Databases, Data Streaming, Snowflake, Apache Spark, Containerization, Data Lineage, Apache Flink, Real Time Data, Apache Kafka, Spark Streaming, Web3.js, Data Pipelines, Databricks
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e3fddfc784d8dfed

## About the Role

* 5+ years of experience in data engineering (or similar) roles
 * Strong experience in ETL/ELT pipeline design, implementation, and optimization
 * Deep expertise in Python and SQL writing production-quality, maintainable, testable code
 * Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake)
 * Solid grounding in software engineering fundamentals, data structures, and systems thinking
 * Hands-on experience in data modeling (dimensional modeling, normalization, schema design)
 * Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks
 * Experience with orchestration / workflow frameworks (e.g. Airflow)
 * Familiarity with data governance, lineage, metadata, cataloging, and data quality practices

Preferred Qualifications:

 * Experience with crypto, financial services, trading, markets, or exchange systems
 * Experience with blockchain, crypto, Web3 data - e.g. blocks, transactions, contract calls, token transfers, UTXO/account models, on-chain indexing, chain APIs, etc.
 * Experience with infrastructure as code, containerization, and CI/CD pipelines
 * Hands-on experience managing and optimizing Databricks on AWS

## Description

The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers, and build high-scale systems that have meaningful impact on your team and the teams you partner with. You will own the end-to-end delivery of data products within your domain, and partner closely with product, analytics, ML, finance, operations, and engineering teams to move, transform, and model data reliably, with observability, resilience, and agility., * Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way

 * Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents
 * Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data
 * Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve
 * Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage)
 * Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance
 * Document data flows, data dictionaries, architecture patterns, and operational runbooks


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Smart Contract fundamentals - My first DApp](https://www.wearedevelopers.com/videos/52-smart-contract-fundamentals-my-first-dapp)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)