Adoreal07.02.26
AI SCORE 8.5

Mid-Level Data Engineer - Remote Position at Adoreal

$90K–$120K/year

About the Role

We are seeking a highly motivated Data Engineer remote to join our fast-growing team at Adoreal. This position is crucial as we scale our operations and automate our content production, scheduling, and reporting processes. As a Data Engineer remote, you will play a pivotal role in transforming our data into actionable insights that drive strategic decisions across the organization.

What You'll Do

  • Collect, analyze, and interpret large datasets to drive strategic decisions across the organization.
  • Build dashboards and reports using BI tools to track performance and identify trends.
  • Partner with cross-functional teams (product, sales, support, executives) to deliver data-driven insights that inform decision-making.
  • Collaborate directly with customers to understand data requirements and provide tailored analytical support.
  • Develop and optimize SQL queries to extract, transform, and analyze data from multiple sources.
  • Support the data infrastructure by working with Snowflake, Redshift, MySQL, MSSQL, and PostgreSQL environments.
  • Translate business needs into analytical solutions and present findings in a clear, compelling manner.

Requirements

  • 3-5 years of professional experience in data engineering, with hands-on responsibility for building and maintaining production data pipelines.
  • Strong proficiency in SQL and solid experience using Python (or a similar language) for data transformation, automation, and pipeline development.
  • Experience working with cloud data warehouses and relational databases such as Snowflake, Amazon Redshift, BigQuery, MySQL, or PostgreSQL.
  • Hands-on experience with ETL/ELT frameworks and orchestration tools (e.g., dbt, Airflow, Prefect, Fivetran, or similar).
  • Working knowledge of data modeling concepts, including fact/dimension tables, schema design, and optimization for analytics and product use cases.
  • Ability to troubleshoot data quality issues and improve pipeline reliability, performance, and monitoring.
  • Strong collaboration and communication skills, with experience working closely with analytics, product, and engineering partners.
  • Experience working with healthcare-related data or other regulated datasets (HIPAA familiarity a plus).

What We Offer

  • Healthcare coverage for you and your family.
  • Paid time off (PTO) and paid holidays.
  • Performance-based bonuses and company equity opportunities.
  • Fully remote work environment with flexible schedules.
  • Collaborative and thriving team culture guided by Adoreal's core values.

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. We are committed to fostering a diverse, inclusive, and fair workplace.

Why This Job8.5 of 10

This Mid-Level Data Engineer position at Adoreal offers a unique opportunity to work remotely in a fast-growing SaaS healthcare company, with competitive benefits and a strong team culture.

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

Who Will Succeed Here

Proficient in SQL and Python, with a strong understanding of data warehousing concepts, particularly with Snowflake and Amazon Redshift, allowing for efficient data architecture design and querying.

Self-motivated and disciplined to excel in a fully remote work environment, demonstrating effective time management skills and the ability to collaborate asynchronously with cross-functional teams.

Hands-on experience with ETL processes and orchestration tools like Airflow, showcasing a problem-solving mindset and the ability to optimize data pipelines for performance and reliability.

Learning Resources

SQL Tutorial for Data Sciencecourse

Career Path

Mid-Level Data Engineer(Now)Senior Data Engineer(2-4 years)Data Engineering Manager(4-6 years)

Market Overview

Market Size 2024
$37.2B
Annual Growth
12.6%
AI Adoption
45%
Investment
+150%
Labour Demand
+25%
Avg Salary
$115K

Skills & Requirements

Required
SQLPythonSnowflake
Growing in Demand
Data Visualization (Tableau, Power BI)Machine Learning (Scikit-learn, TensorFlow)Cloud Data Warehousing (Google BigQuery, Azure Synapse)
Declining
Microsoft AccessOracle PL/SQL

Domain Trends

Rise of Cloud Data Warehousing
The global cloud data warehousing market is projected to grow by 20% annually, with companies increasingly adopting solutions like Snowflake and Amazon Redshift.
Integration of AI in Data Engineering
45% of data engineering teams are leveraging AI tools for data processing and ETL tasks, enhancing efficiency and reducing time-to-insight.
Focus on Real-time Data Processing
Real-time data processing is becoming critical, with 60% of organizations prioritizing this capability to enhance decision-making and customer engagement.

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