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Python Data Developer Jobs in Grand Rapids, MI (NOW HIRING)

CertifID

Senior Data Engineer

Grand Rapids, MI · On-site

$101.80K - $138.30K/yr

Write production-grade Python and SQL: modular, tested, version-controlled, and reviewable by ... Strong Python for data engineering: production-quality pipeline code with error handling ...

Wwwinc

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps * Strong ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining. * Data Engineering & Navigation: Proficiency in SQL with proven ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining. * Data Engineering & Navigation: Proficiency in SQL with proven ...

Deloitte

Data Scientist

Grand Rapids, MI

... in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and ...

TEKsystems

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ... Azure DevOps, Azure Synapse, MLOps, GitHub - Solid experience working with large datasets and ...

TEKsystems

Data Scientist

Grand Rapids, MI · Hybrid

$70 - $90/hr

Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ... Azure DevOps, Azure Synapse, MLOps, GitHub - Solid experience working with large datasets and ...

BDO

Power BI Lead Developer

Grand Rapids, MI

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

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How much do python data developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python data developer in Grand Rapids, MI is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Grand Rapids, MI? For Python Data Developer jobs in Grand Rapids, MI, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Grand Rapids, MI look for? The top searched job categories for Python Data Developer jobs in Grand Rapids, MI are:
Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in Grand Rapids, MI as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.
Senior Data Engineer

Senior Data Engineer

CertifID

Grand Rapids, MI • On-site

$101.80K - $138.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.
 
We know we couldn't take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.

CertifID is the wire fraud prevention platform protecting real estate closings. Every transaction we secure generates data: identity signals, verification events, behavioral patterns, payment flows. That data is how we detect fraud, how our customers measure risk, and how the business operates. You will own the systems that make it trustworthy, fast, and useful.


What You'll Do

Data platform and pipeline engineering

  • Design, build, and operate the core data infrastructure: data lake, warehouse, orchestration, observability, and governance, using declarative configuration and infrastructure as code (Terraform or equivalent) so the platform is reproducible and auditable

  • Partner with platform and domain teams to design ingestion pipelines and implement declarative configuration for data sources across the stack

  • Architect the transformation layer: dimensional models, aggregation strategies, and incremental materialization patterns that balance query performance against pipeline cost at scale

  • Own streaming and near-real-time data flows for fraud signal propagation, transaction status events, and verification webhooks, with the reliability expectations those require

  • Build for scale: partition strategies, clustering, late-arriving data handling, and backfill patterns that hold up when data volume doubles

Business outcome ownership

  • Own the source-of-truth models for the metrics the business runs on: ARR, NRR, churn, transaction volume, fraud detection rates, customer health scores, and operational throughput

  • Make the numbers defensible: when a business leader challenges a metric, you can walk them through exactly how it is calculated, what is excluded, and why

  • Partner with Product, Finance, CS, and GTM to translate business questions into data models and help teams measure what actually matters 

Engineering craft and standards

  • Write production-grade Python and SQL: modular, tested, version-controlled, and reviewable by someone who was not in the room when you wrote it

  • Implement CI/CD pipelines for data systems: automated testing, schema change detection, data contract validation, deployment gates, and cost optimization and performance tuning as ongoing practice, not one-time projects

What We're Looking For

Experience

  • 6+ years in data engineering with primary, end-to-end ownership of a production data platform, not a supporting role on a large team

  • Direct experience designing and operating streaming or near-real-time pipelines (Kafka, Kinesis, Pub/Sub, Flink, or equivalent) at production scale, including debugging failures under load

  • Hands-on production experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks, or equivalent) and a production-grade orchestrator (Airflow, Dagster, Prefect, or equivalent)

Technical depth

  • Expert SQL and distributed systems: window functions, recursive CTEs, query plan analysis, query concurrency management, and optimization strategies that go beyond adding an index

  • Strong Python for data engineering: production-quality pipeline code with error handling, idempotency, retry logic, and test coverage; Go is a meaningful plus

  • Dimensional modeling mastery: you understand the tradeoffs between normalized and denormalized designs, when SCDs are the right tool, and how incremental strategies affect downstream query semantics

  • Event-driven architecture fundamentals: exactly-once semantics, consumer group management, backpressure handling, offset management, and the operational realities of keeping a streaming pipeline healthy

  • Warehouse internals: clustering keys, materialized views, partition pruning, and cost optimization strategies that keep query costs from compounding as data volume grows

What Sets You Apart

  • You instrument, measure, and verify that your work produced the outcome it was supposed to

  • You make architectural decisions independently, communicate outwardly, and document the reasoning so the decision survives you

  • You have joined teams where the data was a mess, and you shipped before the situation was fully resolved, because waiting for perfection was not an option

What We Offer
  • Flexible vacation
  • 12 company-paid holidays
  • 10 paid sick days
  • No work on your birthday
  • Health, dental, and vision Insurance (including a $0 option)
  • 401(k) with matching, and no waiting period
  • Equity
  • Life insurance
  • Generous parental paid leave
  • Wellness reimbursement of $300/year
  • Remote worker reimbursement of $300/year
  • Professional development reimbursement
  • Competitive pay
  • An award-winning culture
Not sure if you check all the boxes? Apply anyway! 
 
We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we'd love to hear from you. We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back!
 
Change doesn't happen overnight, and the same goes for us here at CertifID. We evolve collectively and individually as we grow by leaning into the core values that define us. As we grow, we embody GRIT-collectively and individually-to raise the bar and influence outcomes in everything we do. Guard the Customer - Raise the Bar - Influence Outcomes - Teamwork Wins
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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