Top Talent Picks: Data Engineers

Not interested in hearing from Lean Leverage or Go Carpathian?

Happy Saturday, everyone!

This week, we’re showcasing three exceptional senior Data Engineers who build data pipelines and bring marketing experience to help translate insights into revenue-driving decisions.

At Go Carpathian, we cut hiring timelines from months to days by:

✔️ Headhunting from top-performing analytics and tech teams
✔️ Testing for technical expertise, problem-solving, and business impact
✔️ Vetting for English proficiency & U.S. cultural fluency

Instead of endless LinkedIn sourcing and interviews, you’ll meet 3 Data Engineers ready to join your team this week, each skilled in SQL, Python, ETL, dashboards, and marketing analytics.

👉 See someone who fits your team? Book a free 30-min call with our recruiting specialists and interview them this week.

Candidate #1 

Colombia | 💰 $4,500/month Full-Time | 0% recruiter markup

Candidate #1 is a Senior Data Engineer and Electronic Technologist with 5+ years of global experience in data architecture, ETL/ELT pipelines, BI development, and marketing analytics. He’s built systems inside enterprise environments (including Deloitte), which means he understands governance, scale, and how to build data infrastructure that won’t fall apart when you grow.

Why you should hire him immediately:

• Designs and maintains ETL pipelines and Data Lakes in cloud environments (MS Fabric, Azure, Snowflake, AWS)
  

• Develops dashboards and reports using Power BI, Tableau, and Salesforce Marketing Cloud Intelligence
  

• Performs advanced SQL queries, Python (Pandas, PySpark), and automation for data processing
  

• Translates analytics into marketing insights, optimizing campaigns across Facebook Ads, Google Analytics, Pinterest Ads, and more
  

• Experienced in Agile/Scrum environments with Azure DevOps, Jira, and CI/CD pipelines
  

• Calm, coachable, systems-first mindset

Tools: Python, PySpark, SQL, Power BI, Tableau, Snowflake, Azure Data Factory, MS Fabric, Salesforce Marketing Cloud, RESTful APIs, Excel

Strengths: Data engineering • Marketing analytics • ETL & ELT • Cloud architecture • Dashboarding & visualization • Python & SQL • Data storytelling • Agile/Scrum

Candidate #2 

Brazil | 💰 $3,000/month Full-Time | 0% recruiter markup

Candidate #2 is a Marketing Analytics Engineer with a Master’s Degree in Engineering and deep agency experience managing $1B+ in media data across 30+ clients. He combines hands-on BigQuery pipeline building with real attribution and performance marketing expertise. He makes data usable, consistent, and decision-ready across channels.

Why you should hire him immediately:

• Builds layered ETL/ELT pipelines in BigQuery using SQL + dbt (bronze/silver/gold structure)
  

• Unifies multi-channel data (Meta, Google Ads, TikTok, CRM, GA4) into clean reporting tables
  

• Performs advanced customer analysis (Churn, Cohort, Funnel, LTV, Segmentation)
  

• Optimizes onboarding and reporting workflows, reducing integration time by up to 40%
  

• Troubleshoots CRM vs dashboard mismatches by tracing logic layer-by-layer

Tools: BigQuery, SQL, Python (Pandas, NumPy), dbt, Looker Studio, Tableau, Power BI, GA4, GTM, Treasure Data, Iterable, Fivetran, Dataddo

Strengths: Marketing analytics • Attribution modeling • ETL & ELT • BigQuery • Campaign data integration • Dashboard automation • Data modeling • Performance marketing insights

Candidate #3 

Brazil | 💰 $4,000/month Full-Time | 0% recruiter markup

Candidate #3 is a Senior Data Engineer with 10+ years working across analytics, engineering, and business strategy for high-profile organizations like Accenture. He builds full data platforms end-to-end (from ingestion to warehouse to transformation) and brings serious causal inference and ROAS optimization experience into marketing environments.

Why you should hire him immediately:

• Builds structured data platforms using GCP (Dataproc, Composer, BigQuery) + DBT
  

• Designs ingestion frameworks for messy inputs (Excel, CSV, PDFs, APIs, unstructured data)
  

• Strong Python (PySpark), SQL, Airflow, and multi-cloud exposure (GCP, AWS, Azure)
  

• Maps KPIs and time-series data for ROAS optimization and causal inference modeling
  

• Implements ML workflows with MLflow, Docker, and CI/CD pipelines
  

• Bridges Data Engineering + Data Science + Business teams
  

• Has driven measurable business outcomes (50% revenue lift, $6M+ financial recovery impact)

Tools: Python, PySpark, SQL, BigQuery, DBT, Airflow, Airbyte, Fivetran, GCP, AWS (Athena, Glue), Azure DevOps, MLflow, Docker, Power BI, Looker Studio, Metabase

Strengths: Data platform architecture • Marketing data modeling • Causal inference • ML integration • ETL & ELT • Multi-cloud engineering • Revenue optimization • Business-aligned analytics

Ready to meet them?

Schedule a free 30-minute discovery call with one of our recruiting specialists or reply to this email and get matched with the best global Data Engineers this week!

[Book Your Free 30-Min Call]

Until next time,