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Financial Data Engineer Remote Jobs in Arizona (NOW HIRING)

Ameware Group

Data Engineer

Snowflake, AZ · Remote

$97.80K - $117.40K/yr

NDA (USA) Location: remote (LATAM & Europe) Employment: full-time (40 hours per week) Our client is ... We are looking for a skilled and detail‐oriented Data Engineer who will play a key role in ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

MST Solutions

Data Engineer

Phoenix, AZ · Remote

$114.50K - $137.50K/yr

Yes REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time) POSITION SUMMARY: We are looking for a savvy Data Engineer to join our growing team of analytics experts. The ...

Viasat, Inc.

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... financial, and/or other benefits, dependent on the position offered. Learn more about Viasat ...

CloudDevs

Senior Data Engineer

Snowflake, AZ · Remote

$90.50K - $123K/yr

We are a fully-remote team of roughly 15 people. Our culture is engineering-first and velocity ... Data Platform & Warehousing: Stand up central analytics store. Define schemas, partitioning ...

First Citizens Bank

Senior Java Engineer (Remote)

Phoenix, AZ · Remote

$119.40K - $157.10K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

First Citizens Bank

Senior Java Engineer (Remote)

Phoenix, AZ · On-site +1

$119.40K - $157.10K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106.80K - $145.10K/yr

... Finance, Sales, Operations, and other business functions. * Contribute to Axon's formal data ... Mentor junior and mid-level engineers through thorough code reviews, pairing on complex problems ...

First Citizens Bank

Senior Java Engineer (Remote)

Phoenix, AZ · Remote

$119.40K - $157.10K/yr

... Finance space to ensure our mission critical systems remain stable, are able to scale as our ... Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ...

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Financial Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.

What are the typical challenges faced by remote Financial Data Engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What does a Financial Data Engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.
What are the most commonly searched types of Financial Data Engineer jobs in Arizona? The most popular types of Financial Data Engineer jobs in Arizona are:
What are popular job titles related to Financial Data Engineer Remote jobs in Arizona? For Financial Data Engineer Remote jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Financial Data Engineer Remote jobs in Arizona look for? The top searched job categories for Financial Data Engineer Remote jobs in Arizona are:
What cities in Arizona are hiring for Financial Data Engineer Remote jobs? Cities in Arizona with the most Financial Data Engineer Remote job openings:
Financial Data Engineer Remote jobs near you
Infographic showing various Financial Data Engineer Remote job openings in Arizona as of May 2026, with employment types broken down into 2% As Needed, 76% Full Time, 18% Part Time, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Data Engineer

Ameware Group

Snowflake, AZ • Remote

$97.80K - $117.40K/yr

Full-time

Posted 4 days ago

Job description

Client: NDA (USA) Location: remote (LATAM & Europe) Employment: full-time (40 hours per week) Our client is a well‐known US‐based rewards marketplace that helps users earn for engaging with digital offers, while delivering strong value to advertisers through performance‐driven solutions. We are looking for a skilled and detail‐oriented Data Engineer who will play a key role in building and maintaining scalable data infrastructure within the AWS ecosystem. The ideal candidate has solid hands‐on experience with Apache Airflow, Snowflake, and Python, and knows how to design efficient, fault‐tolerant pipelines.

This role is perfect for someone who enjoys solving complex data challenges, optimizing workflows, and collaborating across product and engineering teams. Requirements 3–5 years of proven experience as a Data Engineer , with strong expertise in designing and maintaining production‐grade data pipelines. 2+ years of experience with Apache Airflow (MWAA) , including building and debugging complex DAGs, and applying best practices for error handling and idempotency.

2+ years of practical experience with Snowflake , including advanced SQL (MERGE, COPY INTO), query tuning, and orchestration tasks. 3+ years of experience with Python , including object‐oriented programming, Pandas , and concurrent execution (e.g., ThreadPoolExecutor for parallel data processing). 3+ years of experience writing complex SQL queries (CTEs, window functions, stored procedures) and optimizing them for large datasets.

2+ years of experience working with AWS (S3, IAM, Lambda). Experience with Infrastructure as Code tools (Terraform or CloudFormation) is a strong plus. Strong understanding of ETL/ELT principles , data modeling (star schema, slowly changing dimensions), and data quality management.

Experience troubleshooting production data issues, including debugging race conditions, performance bottlenecks, and data inconsistencies. Excellent communication skills, attention to detail, and a proactive, team‐oriented mindset. Nice to have Experience with marketing and mobile attribution data sources (e.g., Adjust, Singular, AppsFlyer).

Familiarity with Looker or other BI visualization tools. Experience with ETL/Reverse ETL platforms (Hevo, Hightouch, Census). Knowledge of dbt or Great Expectations.

Certifications in Snowflake, AWS, or Airflow will be a plus. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Python, Apache Airflow (MWAA), and Snowflake. Build data ingestion workflows from multiple sources, including AWS S3, Aurora MySQL, MongoDB, BigQuery, and third‐party APIs (Singular, AppsFlyer, Google Ads, Facebook Ads, TikTok Ads).

Implement processes for data validation, cleansing, and deduplication to ensure high accuracy and reliability. Apply a declarative and idempotent approach to pipeline design to support reliable backfills and recovery. Set up monitoring, logging, and alerting systems (e.g., Slack notifications) for data operations and pipeline performance tracking.

Collaborate with Data, Product, and Engineering teams to translate business needs into reliable technical solutions. Continuously optimize data workflows and SQL queries for performance and cost efficiency. Ensure adherence to data quality and governance standards across all processes.

We offer Remote work in an international company in the USA. Competitive salary in the USD. Flexible working hours to help you manage your work/life balance.

Fully remote service/support Career and professional growth. Warm and friendly attitude to every specialist. #J-18808-Ljbffr

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