Explore top-paying data science, analytics, and data engineering jobs hiring in 2025. Apply to top companies like T-Mobile, Trane, Optum, Uline, and more. Remote & onsite roles available!
🚀 Best Data Science, Analytics & Data Engineering Job Opportunities – Apply Now
Are you actively job hunting in data science, data analytics, or data engineering in 2025?
Good news! Top companies across the USA and Europe are hiring for both entry-level and mid-senior level roles—with attractive salaries, hybrid/remote options, and robust growth opportunities.
From tech giants to healthcare innovators and consumer startups, this curated list features current openings across major U.S. hubs like Atlanta, Boston, Bellevue, Columbus, Chicago, and even Dublin, Ireland for global candidates.
💼 Open Data Roles in Data Science, Analytics & Engineering
1️⃣ Senior Data Scientist – Trane Technologies
📍 Location: Atlanta, GA
🧑💼 Experience: Mid to Senior (3–5 years)
🔗 Apply Now
As a Senior Data Scientist at Trane, you’ll build predictive models, apply advanced analytics to HVAC and energy systems, and contribute to sustainable innovation in climate control. Candidates must have a strong background in machine learning, Python, time series forecasting, and data pipelines.
2️⃣ Senior Analyst – Digitas North America
📍 Location: Boston, MA
🧑💼 Experience: Entry to Mid-level (~2 years)
🔗 Apply Now
Join the award-winning digital agency Digitas as a Senior Analyst. You’ll work with global clients to deliver actionable insights using SQL, Tableau, and Google Analytics. A perfect role for early-career professionals transitioning from junior analyst positions to mid-level insights roles.
3️⃣ Data Analyst – Uline
📍 Location: Waukegan, IL
🧑💼 Experience: Entry-level (~2 years)
🔗 Apply Now
Uline is hiring Data Analysts to support business decisions with clean visual dashboards, trend forecasting, and warehouse optimization. Work with Excel, SQL, Power BI, and R to drive efficient logistics and operations.
4️⃣ Junior R&D Analyst – Hims & Hers
📍 Location: Remote
🧑💼 Experience: Entry-Level (~2 years)
🔗 Apply Now
This fully remote job is ideal for candidates passionate about healthcare and innovation. You’ll support clinical research teams by analyzing product performance, digital health metrics, and behavioral data. A solid foundation in Python, R, and A/B testing is a plus.
5️⃣ Data Engineer – T-Mobile
📍 Location: Bellevue, WA
🧑💼 Experience: Mid-level (~2 years)
🔗 Apply Now
Work on scalable data pipelines, real-time data ingestion, and cloud transformation as a Data Engineer at T-Mobile. The role is best suited for professionals with experience in Apache Spark, Kafka, SQL, Snowflake, and AWS or GCP.
6️⃣ Data Engineer – NetJets
📍 Location: Columbus, OH
🧑💼 Experience: 2–4 years
🔗 Apply Now
Join NetJets, a leader in private aviation, to design enterprise-grade data systems. The ideal candidate should have expertise in ETL frameworks, data modeling, SQL, Azure, and Python for analytics reporting and aviation logistics.
7️⃣ Senior Data Engineer – Optum (UnitedHealth Group)
📍 Location: Dublin, Leinster, Ireland
🧑💼 Experience: Entry-Mid (~2 years)
🔗 Apply Now
Interested in relocating or working in Europe? Optum is hiring for its Ireland-based analytics team. This senior-level role focuses on healthcare data pipelines, patient outcome modeling, and real-time analytics using Scala, Python, AWS, and Databricks.
🌟 Why These Roles Are Great for Your Career in 2025
With the rise of AI, ML, and big data ecosystems, data-related roles are among the fastest growing and highest paying careers worldwide. Here’s why these jobs matter:
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💸 High Salaries: Starting from $85,000 and going beyond $160,000 depending on experience and location.
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🌐 Global Demand: From the U.S. to Europe, data professionals are in short supply.
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🔁 Industry Flexibility: Work in fintech, healthcare, SaaS, e-commerce, logistics, or aviation.
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📈 Career Scalability: Grow into lead roles like Chief Data Officer, Principal Scientist, or Data Architect.
🛠️ In-Demand Skills for These Roles
To maximize your chances of landing one of these roles, strengthen the following:
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Languages & Tools: Python, SQL, R, Scala, Spark, Java
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Cloud Platforms: AWS, Azure, GCP
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Visualization: Power BI, Tableau, Looker
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Data Ops: Airflow, Kafka, Docker, Kubernetes
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Soft Skills: Problem-solving, communication, stakeholder reporting
📣 Apply Directly and Stand Out
If any of these roles align with your profile, don’t wait—apply directly through the links above. Also, make sure your LinkedIn, GitHub, and resume are updated with project links, tech stack, and outcomes.
Consider adding certifications like:
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Google Data Analytics Certificate
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Microsoft Azure Data Fundamentals
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AWS Certified Data Analytics – Specialty
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Databricks Certified Data Engineer
💬 Know Someone Who’s Job Hunting?
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⚠️ Note: We are not affiliated with the listed companies. Kindly apply directly via official portals. Avoid commenting “Interested” — just click and apply.
