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Remote Data Manager Jobs in Arizona (NOW HIRING)

Ameware Group

Data Engineer

Snowflake, AZ · Remote

$97.80K - $117.40K/yr

We are looking for a skilled and detail‐oriented Data Engineer who will play a key role in ... Flexible working hours to help you manage your work/life balance. Fully remote service/support ...

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How much do remote data manager jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data manager in Arizona is $97,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Manager, and why are they important?

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by Remote Data Managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

What is a Remote Data Manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are popular job titles related to Remote Data Manager jobs in Arizona? For Remote Data Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Data Manager jobs in Arizona look for? The top searched job categories for Remote Data Manager jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Manager jobs? Cities in Arizona with the most Remote Data Manager job openings:
Remote Data Manager jobs near you

Data Engineer

Ameware Group

Snowflake, AZ • Remote

$97.80K - $117.40K/yr

Full-time

Posted 5 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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