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Data Engineer

micro1 Remote Remote Posted 2026-07-28
RegionNot specifiedCityNot specifiedContractRemotePosted2026-07-28Close dateNot specifiedExperienceNot specifiedSourceJobHub GhanaSalary$100,000 – $150,000 USD
data engineerremotefull timepythonsqletldata pipelinesghanamicro1securitysegurancatechnology
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AI summary

Remote Data Engineer role at micro1. Build scalable ETL pipelines, perform data analysis, and collaborate on AI/ML projects. Full-time with $100k-$150k USD salary, equity, and benefits.

  • Full-time remote position
  • Salary $100k-$150k USD plus equity
  • Requires Python, SQL, ETL experience
  • US benefits: 401K, health insurance

AI job guide

Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.

AI salary guide

Source salary available

The source lists $100,000 – $150,000 USD. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.

Can you qualify for this role?

  • UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
  • PreferredPractical evidence in security, seguranca, technologyThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
  • UnclearComfort with the Remote contract termsConfirm hours, duration, probation and benefits at the original source.

Documents to prepare

  • Likely requiredUpdated CV
  • Role specificCover letter or short employer message
  • OptionalProfessional references
  • VerifyID or passport only after verifying the employer

Application tips for this job

  • Place your strongest Data Engineer evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to micro1 and the role in Not specified.
  • Add concrete examples related to security, seguranca, technology, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from JobHub Ghana; avoid sending documents to unofficial contacts or copied links.
  • Confirm the deadline, interview location and employer contact before sharing personal documents.

Source and safety check

  • JobHub Ghana
  • Original source link available
  • Application method is clear
  • Deadline not specified
  • No major risk signal was detected in the captured text.

Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.

Interview preparation

  • What experience makes you a strong fit for this Data Engineer role in security, seguranca?
  • How have you handled responsibilities similar to those in this job post?
  • Are you available to work in Not specified under the listed contract or schedule?
  • Prepare examples with clear responsibilities, tools used and measurable outcomes.
  • Review the source and research micro1 before the interview.

Ask what the first priorities will be in the role and how success will be measured.

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Original source description

Data Engineer micro1 Verified Employer · Remote Remote Any

Experience

Job Title: Data Engineer

Job Type: Full-time Remote The Role We are looking for a skilled Data Engineer with strong analytical thinking and

Remote Posted 2 days ago Share Job Overview Salary Salary negotiable Vacancies 1 Deadline Open Job Type Remote Location Remote Apply on Company Site Want to track your applications, save jobs, and get alerts? Create a free account Want faster job alerts? Join our Telegram channel for fresh Ghana jobs, urgent openings, and National Service updates the moment they land. Join Telegram Job Description

building scalable data pipelines, performing exploratory data analysis, and working with both structured and unstructured data. In this role, you will help transform raw information into reliable, high-quality datasets that support research, analytics, and AI/ML model development. Exposure to machine-learning tools and AI technologies is highly valuable. Key

designing and maintaining ETL pipelines.

conducting exploratory data analysis. Proficiency with Python data-processing libraries such as Pandas and NumPy.

working with relational databases, particularly PostgreSQL and MySQL. Strong understanding of data modeling, database schemas, and data transformation. Ability to work with both structured and unstructured datasets.

ensuring data accuracy, quality, and reliability. Familiarity with development environments such as Jupyter Notebook, VS Code, or PyCharm. Strong analytical, problem-solving, and communication skills. Nice to Have Exposure to AI and machine-learning workflows. Familiarity with tools and libraries such as scikit-learn.

working with Hugging Face Transformers. Familiarity with the OpenAI API or similar AI platforms.

preparing and managing datasets used for AI/ML model development. Previous

collaborating with researchers or data scientists. Compensation &

Responsibilities

Design, develop, and maintain scalable ETL pipelines. Collect, clean, transform, and organize structured and unstructured data. Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues. Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives. Develop and maintain data models, database schemas, and data-storage solutions. Write and optimize SQL queries for data extraction, transformation, and analysis. Ensure data quality, integrity, consistency, and security across pipelines and databases. Automate data validation, reporting, and recurring data processing workflows. Document data pipelines, processes, and technical decisions. Troubleshoot pipeline failures and resolve data-related issues. Required Skills and Qualifications Strong proficiency in Python and SQL. Hands-on

Benefits

Notice The national pay range for this full-time position is a base salary of $100,000 –$150,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive

package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional

designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to [email protected] . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations. Job Overview Salary Salary negotiable Vacancies 1 Deadline Open Job Type Remote Location Remote Apply on Company Site Want to track your applications, save jobs, and get alerts? Create a free account About the Employer micro1 Verified Employer Software Development · 51-200 employees The leading data lab that builds real-world RL environments to train models and agents View Company Profile Apply on Company Site

Source and provenanceSource: JobHub Ghana. Last checked: 2026-08-05.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.