Talantix.io
Anchorage Digital•15.02.26
AI SCORE 8.5

Senior Data Engineer - Reporting & Statements (Remote)

$140K–$180K/year
RemoteWeb3
Python•SQL•BigQuery•Airflow•Data Modeling•Data Validation

About the Role

At Anchorage Digital, we are looking for a Senior Data Engineer to join our Reporting & Statements team. This remote position allows you to work from anywhere in the United States while contributing to the world’s most advanced digital asset platform for institutions participating in crypto. As a Senior Data Engineer, you will design the systems that power every financial report and statement we deliver, from monthly reports to daily statements and custom client requests.

What You'll Do

  • Design and implement systems that ensure accuracy and consistency in financial reporting.
  • Evolve our architecture from decentralized reporting scripts to a centralized, framework-based delivery system.
  • Build automated validation and reconciliation processes that allow us to scale without adding manual oversight.
  • Develop data models that serve as a trusted source of truth for downstream product teams and external APIs.
  • Collaborate with Product and Foundations teams to standardize financial data capture and representation.
  • Create self-service frameworks enabling other teams to add new report types through configuration instead of code.
  • Listen to product stakeholders to anticipate scaling needs for client-facing data.
  • Advocate for and model
Why This Job8.5 of 10

This Senior Data Engineer role at Anchorage Digital offers a unique opportunity to work remotely while shaping the future of financial reporting in the crypto space.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and SQL with hands-on experience in BigQuery for complex data analysis and reporting, showcasing the ability to handle large datasets and optimize query performance.

→

Strong understanding of data modeling and validation processes, enabling the design of efficient data pipelines using Apache Airflow to automate workflows in a remote work environment.

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Demonstrated experience in building and maintaining data infrastructure, coupled with a proactive mindset for problem-solving and continuous improvement in data quality and reporting accuracy.

Learning Resources

→Python for Data Engineeringcourse
→BigQuery Documentationguide
→Data Modeling for Data Warehousingarticle

Career Path

Senior Data Engineer - Reporting & Statements(Now)→Data Engineering Lead(1-2 years)→Director of Data Engineering(3-5 years)

Market Overview

Market Size 2024
$20B
Annual Growth
11.5%
AI Adoption
62%
Investment
+45%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonSQLBigQuery
Growing in Demand
Machine LearningApache SparkData Warehousing
Declining
HadoopExcel VBA

Domain Trends

Increased Demand for Real-Time Data Processing
With the rise of IoT devices, organizations are increasingly focusing on real-time data processing, leading to a 40% increase in job postings for data engineers skilled in streaming technologies.
Integration of AI in Data Engineering
62% of companies are adopting AI tools to enhance data workflows, optimizing data validation and modeling processes.
Shift Towards Cloud-Based Data Solutions
The cloud data warehousing market is projected to grow by 25% annually, with tools like BigQuery gaining traction among enterprises for their scalability and efficiency.

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